code: def re_post_process_en(self, text, output):
      if (
          "head" in output
          and "relation" in output
          and "tail" in output
          and "'" in output
          and "{" in output
          and "}" in output
          and ":" in output
      ):
          kg = self.rte_post_process3(text, output)
      elif (
          "Subject is" in output
          and "Object is" in output
          and "Relation is" in output
      ):
          kg = self.rte_post_process1_en(text, output)
      elif "(" in output and ")" in output and "," in output:
          kg = self.rte_post_process0(text, output)
      elif "：" in output and "," in output:
          kg = self.rte_post_process2(text, output)
      else:
          kg = None
      return kg
  
file_path: DeepKE/example/llm/InstructKGC/kg2instruction/eval/extracter/re_extractor.py
imports: import sys
  import re
label_desc: Use image node_id 11 for calling the REExtractor obj's underlying member method code with example usage: obj.re_post_process_en(text, output) and returns: kg