code: def _get_qid_wikiname_dict(self, path):
      qid_set = set()
      with open(path, encoding="utf-8") as read:
          # read all Q-IDs
  
          # ignore first line
          read.readline()
          line = read.readline()
  
          while line:
              if not (
                  line[0] == "#" or line == "\n"
              ):  # commented or empty lines
                  line_list = line.split("\t")
                  if line_list[7] not in [
                      "_",
                      "NIL",
                  ]:  # line has wikidata link
                      qid_set.add(line_list[7])
  
              line = read.readline()
  
      base_url = (
          "https://www.wikidata.org/w/api.php?action=wbgetentities&format=json&props=sitelinks&sitefilter="
          + self.wiki_language
          + "&ids="
      )
  
      qid_list = list(qid_set)
      ids = ""
      length = len(qid_list)
      qid_wikiname_dict = {}
      for i in range(length):
          if (
              i + 1
          ) % 50 == 0 or i == length - 1:  # there is a limit to the number of ids in one request in the wikidata api
              ids += qid_list[i]
              # request
              response_json = requests.get(base_url + ids).json()
  
              for qid in response_json["entities"]:
                  try:
                      wikiname = response_json["entities"][qid][
                          "sitelinks"
                      ][self.wiki_language]["title"].replace(" ", "_")
                  except (
                      KeyError
                  ):  # language not available for specific wikiitem
                      wikiname = "O"
  
                  qid_wikiname_dict[qid] = wikiname
  
              ids = ""
  
          else:
              ids += qid_list[i]
              ids += "|"
  
      return qid_wikiname_dict
  
imports: import csv
  import logging
  import os
  from pathlib import Path
  from typing import Dict, List, Optional, Union
  import requests
  import flair
  from flair.data import Corpus, MultiCorpus, Sentence
  from flair.datasets.sequence_labeling import ColumnCorpus, MultiFileColumnCorpus
  from flair.file_utils import cached_path, unpack_file
  from flair.splitter import SegtokSentenceSplitter, SentenceSplitter
label_desc: Use image node_id 2 for calling the NEL_GERMAN_HIPE obj's underlying member method code with example usage: obj._get_qid_wikiname_dict(path) and returns: qid_wikiname_dict