Triple

T17109820
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki Heavy Industries E415195 entity
Predicate listedOn P1278 FINISHED
Object Osaka Exchange E269678 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: Osaka Exchange | Statement: [Kawasaki Heavy Industries, listedOn, Osaka Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Exchange
Context triple: [Kawasaki Heavy Industries, listedOn, Osaka Exchange]
  • A. Osaka Exchange chosen
    Osaka Exchange is a major Japanese securities and derivatives exchange based in Osaka, specializing particularly in derivatives trading such as index futures and options.
  • B. Shin-Osaka
    Shin-Osaka is a major railway hub in Osaka, Japan, serving as the primary Shinkansen (bullet train) terminal linking the city with other regions across the country.
  • C. Osaka Hai
    Osaka Hai is a prestigious Grade 1 flat horse race in Japan for older thoroughbreds, run over 2000 meters at Hanshin Racecourse each spring.
  • D. Osaka Namba
    Osaka Namba is a major railway station and commercial hub in central Osaka, Japan, serving multiple private rail lines and providing access to the bustling Namba entertainment and shopping district.
  • E. Umeda, Osaka
    Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc29c884819092a97d9663a1b1f7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a03e2e48190a0b631dd8f6f8a24 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.