Triple

T17125609
Position Surface form Disambiguated ID Type / Status
Subject Musashi-Kosugi Station E415585 entity
Predicate locatedIn P40 FINISHED
Object Kawasaki 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: Kawasaki | Statement: [Musashi-Kosugi Station, locatedIn, Kawasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki
Context triple: [Musashi-Kosugi Station, locatedIn, Kawasaki]
  • A. Kawasaki chosen
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • B. Kawasaki Motors
    Kawasaki Motors is the motorcycle, ATV, and small engine manufacturing division of Kawasaki Heavy Industries, known worldwide for its high-performance bikes and power sports vehicles.
  • C. Kawasaki Daishi
    Kawasaki Daishi is a major Shingon Buddhist temple in Kawasaki, Japan, renowned as a popular site for New Year’s visits and prayers for protection from misfortune.
  • D. Suzuki
    Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
  • E. Kawasaki Steel Mizushima
    Kawasaki Steel Mizushima was a Japanese company football club owned by Kawasaki Steel that later evolved into the professional J.League team Vissel Kobe.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
Created at: April 10, 2026, 5:36 a.m.