Triple

T16240814
Position Surface form Disambiguated ID Type / Status
Subject Kawaguchi E394238 entity
Predicate mergedWith P77 FINISHED
Object Hatogaya NE NERFINISHED

How this triple was built (3 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: Hatogaya | Statement: [Kawaguchi, mergedWith, Hatogaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatogaya
Context triple: [Kawaguchi, mergedWith, Hatogaya]
  • A. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • B. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • C. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • D. Hatano
    Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
  • E. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hatogaya
Target entity description: Hatogaya was a former city in Saitama Prefecture, Japan, that became part of the expanded city of Kawaguchi.
  • A. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • B. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • C. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • D. Hatano
    Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
  • E. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
  • F. None of above. chosen

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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:04 a.m.