Triple

T13765793
Position Surface form Disambiguated ID Type / Status
Subject Koganei Campus E330737 entity
Predicate locatedIn P40 FINISHED
Object Koganei, Tokyo E992211 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: Koganei, Tokyo | Statement: [Koganei Campus, locatedIn, Koganei, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koganei, Tokyo
Context triple: [Koganei Campus, locatedIn, Koganei, Tokyo]
  • A. Koganei, Tokyo chosen
    Koganei, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and the renowned Edo-Tokyo Open Air Architectural Museum in Koganei Park.
  • B. Kōtō, Tokyo
    Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
  • C. Hachioji, Tokyo
    Hachioji, Tokyo is a major suburban city in western Tokyo known for its residential areas, universities, and proximity to Mount Takao.
  • D. Musashino, Tokyo
    Musashino, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and several universities and cultural institutions.
  • E. Toshima, Tokyo
    Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a4c2cc81908c8acd3a1123208a completed May 10, 2026, 1:14 p.m.
Created at: April 9, 2026, 10:10 p.m.