Triple

T15432708
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Fuji Art Museum E369678 entity
Predicate locatedIn P40 FINISHED
Object Hachiōji 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: Hachiōji | Statement: [Tokyo Fuji Art Museum, locatedIn, Hachiōji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hachiōji
Context triple: [Tokyo Fuji Art Museum, locatedIn, Hachiōji]
  • A. 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.
  • B. Higashiyamato, Tokyo
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and access via the Tama Monorail.
  • C. Koganei, Tokyo
    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.
  • D. Chōfu
    Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
  • E. Musashino
    Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eda01cc8190843e23b260b8503c completed April 16, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:21 a.m.