Triple

T13265603
Position Surface form Disambiguated ID Type / Status
Subject Mitaka E315914 entity
Predicate adjacentTo P224 FINISHED
Object Chōfu 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: Chōfu | Statement: [Mitaka, adjacentTo, Chōfu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chōfu
Context triple: [Mitaka, adjacentTo, Chōfu]
  • A. Chōfu chosen
    Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
  • B. 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.
  • C. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • D. Toshima
    Toshima is a small, sparsely populated volcanic island and village in Tokyo’s Izu Islands, known for its natural scenery and traditional rural lifestyle.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
Created at: April 9, 2026, 9:25 p.m.