Triple

T8750947
Position Surface form Disambiguated ID Type / Status
Subject 後藤新平 E207952 entity
Predicate positionHeld P8 FINISHED
Object 逓信大臣
逓信大臣は、日本の旧逓信省を統括し郵便・電信・電話などの通信行政を担当した国務大臣の役職である。
E755241 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 逓信大臣 | Statement: [後藤新平, positionHeld, 逓信大臣]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 逓信大臣
Context triple: [後藤新平, positionHeld, 逓信大臣]
  • A. 内務大臣
    内務大臣は、日本の内政全般や警察・地方行政などを統括した旧日本の国務大臣の官職である。
  • B. Minister for Administrative Reform of Japan
    The Minister for Administrative Reform of Japan is a cabinet-level government post responsible for leading bureaucratic, regulatory, and digitalization reforms to improve the efficiency and transparency of Japan’s public administration.
  • C. Minister for Internal Affairs and Communications of Japan
    The Minister for Internal Affairs and Communications of Japan is a cabinet-level government official responsible for overseeing the country’s internal administration, local governments, communications policy, and information technology strategy.
  • D. 国務大臣
    国務大臣は、日本の内閣を構成し各行政分野の政策立案と執行を担う高位の政府閣僚を指す。
  • E. Minister of Transport of Japan
    The Minister of Transport of Japan is the cabinet official responsible for overseeing the country’s transportation policy, infrastructure, and related regulatory affairs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 逓信大臣
Triple: [後藤新平, positionHeld, 逓信大臣]
Generated description
逓信大臣は、日本の旧逓信省を統括し郵便・電信・電話などの通信行政を担当した国務大臣の役職である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 逓信大臣
Target entity description: 逓信大臣は、日本の旧逓信省を統括し郵便・電信・電話などの通信行政を担当した国務大臣の役職である。
  • A. 内務大臣
    内務大臣は、日本の内政全般や警察・地方行政などを統括した旧日本の国務大臣の官職である。
  • B. Minister for Administrative Reform of Japan
    The Minister for Administrative Reform of Japan is a cabinet-level government post responsible for leading bureaucratic, regulatory, and digitalization reforms to improve the efficiency and transparency of Japan’s public administration.
  • C. Minister for Internal Affairs and Communications of Japan
    The Minister for Internal Affairs and Communications of Japan is a cabinet-level government official responsible for overseeing the country’s internal administration, local governments, communications policy, and information technology strategy.
  • D. 国務大臣
    国務大臣は、日本の内閣を構成し各行政分野の政策立案と執行を担う高位の政府閣僚を指す。
  • E. Minister of Transport of Japan
    The Minister of Transport of Japan is the cabinet official responsible for overseeing the country’s transportation policy, infrastructure, and related regulatory affairs.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf431db5a88190a579b43370a8e887 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf45ff020c81909bfe20de50d3661a completed April 3, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69cf46ab85088190b12e6eb969f2c65b completed April 3, 2026, 4:48 a.m.
Created at: March 30, 2026, 6:39 p.m.