class_docstr: @article{xu2017discourse,
  title={A discourse-level named entity recognition and relation extraction dataset for chinese literature text},
  author={Xu, Jingjing and Wen, Ji and Sun, Xu and Su, Qi},
  journal={arXiv preprint arXiv:1711.07010},
  year={2017}
  }
class_docstr_tok: ["@","article","{","xu2017discourse",",","title=","{","A","discourse-level","named","entity","recognition","and","relation","extraction","dataset","for","chinese","literature","text","}",",","author=","{","Xu",",","Jingjing","and","Wen",",","Ji","and","Sun",",","Xu","and","Su",",","Qi","}",",","journal=","{","arXiv","preprint","arXiv:1711.07010","}",",","year=","{","2017","}","}"]
code: def get_templates(self):
      return ["文本：{text} 问题:上述文本中，“{head}”和“{tail}”的关系为？{options}"]
  
file_path: OpenPrompt/openprompt/data_utils/ZH/relation.py
imports: from .processor import *
label_desc: Use image node_id 3 for calling the Chinese_Literature_NER_RE obj's underlying member method code with example usage: obj.get_templates() and returns: list