Triple

T21685091
Position Surface form Disambiguated ID Type / Status
Subject 原敬 E535208 entity
Predicate 役職 P3459 FINISHED
Object 外務大臣 NE NERFINISHED

How this triple was built (2 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: 外務大臣 | Statement: [原敬, 役職, 外務大臣]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 外務大臣
Context triple: [原敬, 役職, 外務大臣]
  • A. 外務省条約局長
    外務省条約局長は、日本の外交政策における条約や国際法関連業務を統括する外務省の高級幹部ポストである。
  • B. Minister for Foreign Affairs of Japan chosen
    The Minister for Foreign Affairs of Japan is the cabinet official responsible for directing Japan’s foreign policy, diplomacy, and international relations.
  • C. Minister for Foreign Affairs
    The Minister for Foreign Affairs is the Irish government cabinet member responsible for directing the state’s foreign policy, international relations, and diplomatic engagements.
  • D. Utenriksminister
    Utenriksminister is the Norwegian term for the government official responsible for managing Norway’s foreign policy and international relations.
  • E. Secretary of Foreign Affairs
    The Secretary of Foreign Affairs is the Philippine government’s chief diplomat, responsible for directing the country’s foreign policy and managing its international relations through the Department of Foreign Affairs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96ca668481909f53853c7a8ea811 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.