RobertGomezDP/fingpt-ner-cls-sharegpt-style

conversations listlengths 2 2
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]
[ { "from": "human", "value": "What is the entity type of 'Legal Department' in the input sentence.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "What is the entity type of 'Legal Department' in the input sentence.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Within the input text, identify the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]
[ { "from": "human", "value": "What is the entity type of 'Borrower' in the input sentence.\nOptions: organization, person, location\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Borrower'.\nOptions: organization, location, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Borrower'.\nOptions: person, organization, location\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Borrower'.\nOptions: person, location, organization\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Borrower'.\nOptions: location, organization, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Borrower'.\nOptions: organization, location, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Borrower'.\nOptions: person, location, organization\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]
[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Borrower'.\nOptions: location, organization, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "What is the entity type of 'Beijing 100086' in the input sentence.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Beijing 100086'.\nOptions: organization, person, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Beijing 100086'.\nOptions: person, organization, location\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Beijing 100086'.\nOptions: location, organization, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Beijing 100086'.\nOptions: person, location, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Beijing 100086'.\nOptions: location, person, organization\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Beijing 100086'.\nOptions: organization, location, person\n Lender : 3 / F Zhongdian Information Tower , No . 6 Zhongguancun South Street , Haidian District , Beijing 100086 , P . R ." }, { "from": "gpt", "value": "location" } ]

[ { "from": "human", "value": "What is the entity type of 'Legal Department' in the input sentence.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Legal Department'.\nOptions: organization, person, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "What is the entity type of 'Legal Department' in the input sentence.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Legal Department'.\nOptions: location, organization, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Interpreting the input sentence as context, specify the entity type for 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Assessing the input sentence as context, label the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "In the input sentence, determine the entity type for 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Within the input text, identify the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Analyze the input sentence to find the entity type of 'Legal Department'.\nOptions: location, person, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Check the input sentence for the entity type associated with 'Legal Department'.\nOptions: person, organization, location\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Explore the input sentence to ascertain the entity type of 'Legal Department'.\nOptions: person, location, organization\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Examine the input text to classify the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "Scrutinize the input sentence to define the entity type of 'Legal Department'.\nOptions: organization, location, person\n China Attn : Legal Department Phone : + 86 - 10 - 6250 1658 Facsimile : + 86 - 10 - 6250 1665" }, { "from": "gpt", "value": "organization" } ]

[ { "from": "human", "value": "What is the entity type of 'Borrower' in the input sentence.\nOptions: organization, person, location\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "With the input text as context, identify the entity type of 'Borrower'.\nOptions: organization, location, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "Using the input sentence as a reference, analyze and specify the entity type of 'Borrower'.\nOptions: person, organization, location\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "In the context of the input sentence, examine and categorize the entity type of 'Borrower'.\nOptions: person, location, organization\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "Utilize the input text as context to explore and ascertain the entity type of 'Borrower'.\nOptions: location, organization, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "Leverage the input sentence to evaluate and define the entity type for 'Borrower'.\nOptions: organization, location, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "Considering the input sentence as context, inspect and classify the entity type of 'Borrower'.\nOptions: person, location, organization\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]

[ { "from": "human", "value": "With the input sentence as a backdrop, scrutinize and determine the entity type of 'Borrower'.\nOptions: location, organization, person\n Borrower : 1 - 4 - 48 , No ." }, { "from": "gpt", "value": "person" } ]