Triple

T19296515
Position Surface form Disambiguated ID Type / Status
Subject Osaka Securities Exchange E482577 entity
Predicate successor P78 FINISHED
Object Osaka Exchange 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: Osaka Exchange | Statement: [Osaka Securities Exchange, successor, Osaka Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Exchange
Context triple: [Osaka Securities Exchange, successor, 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 (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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc85e8988190a98bc291121f0153 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.