Triple

T2299824
Position Surface form Disambiguated ID Type / Status
Subject Kanto E51702 entity
Predicate hasMajorCity P316 FINISHED
Object Sagamihara E130056 NE FINISHED

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: Sagamihara | Statement: [Kanto, hasMajorCity, Sagamihara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagamihara
Context triple: [Kanto, hasMajorCity, Sagamihara]
  • A. 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.
  • B. Hachiōji chosen
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • C. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • D. Higashiōsaka
    Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
  • E. Nishinomiya
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ec3c948190b47ea763812a1cf5 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba4db388190baa1108563783227 completed March 12, 2026, 11:26 p.m.
Created at: March 4, 2026, 7:49 p.m.