Triple

T22656345
Position Surface form Disambiguated ID Type / Status
Subject 吉田健一 E559236 entity
Predicate birthPlace P1 FINISHED
Object 東京府 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: 東京府 | Statement: [吉田健一, birthPlace, 東京府]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京府
Context triple: [吉田健一, birthPlace, 東京府]
  • A. Tokyo Prefecture chosen
    Tokyo Prefecture is Japan’s capital metropolitan region, encompassing the city of Tokyo and serving as the country’s political, economic, and cultural center.
  • B. 東京府東京市
    東京府東京市 was the former administrative entity encompassing the urban area of Tokyo before it was reorganized into Tokyo Metropolis in 1943.
  • C. Bunkyō City
    Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
  • D. Chiba
    Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
  • E. Kyoto Prefecture
    Kyoto Prefecture is a region in Japan’s Kansai area known for its historic capital city of Kyoto, famous temples, traditional culture, and well-preserved heritage sites.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.