Triple

T22564101
Position Surface form Disambiguated ID Type / Status
Subject 橋本市 E557896 entity
Predicate locatedIn P40 FINISHED
Object 近畿地方 — 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: 近畿地方 | Statement: [橋本市, locatedIn, 近畿地方]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 近畿地方
Context triple: [橋本市, locatedIn, 近畿地方]
  • A. Kansai region chosen
    The Kansai region is a major cultural and economic area of western Japan that includes cities such as Osaka, Kyoto, and Kobe and is known as a historic heartland of Japanese civilization.
  • B. Kōshin'etsu region
    The Kōshin'etsu region is a landlocked area of central Honshu, Japan, traditionally comprising Yamanashi, Nagano, and Niigata Prefectures and known for its mountains, hot springs, and ski resorts.
  • C. Sanyō region
    The Sanyō region is a major industrial and urban area along the southern coast of Japan’s Honshu island, facing the Seto Inland Sea and encompassing key cities such as Hiroshima and Okayama.
  • D. Chūbu region
    The Chūbu region is a central area of Japan on Honshu Island, known for encompassing the Japanese Alps and including major prefectures such as Aichi, Nagano, and Shizuoka.
  • E. Keihin region
    The Keihin region is a major industrial and urban area in Japan encompassing Tokyo, Kawasaki, and Yokohama along the northwestern shore of Tokyo Bay.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa8d8388190856198547d56dce6 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.