Ambiguous Entity in stanfors NER
Scrape data from sites like wikipedia,etc. and create a scoring model and then use it for context prediction.
I am working on Stanford NER, My question is regarding ambiguous entities.
For example, I have 2 sentences:


I love oranges.
Orange is my dress code for tomorrow.


How can i train these 2 sentences to give out, 

first orange as Fruit,  second orange as Color.

Thanks