Triple

T2699948
Position Surface form Disambiguated ID Type / Status
Subject JR West Hanwa Line E59205 entity
Predicate railwaySystem P522 FINISHED
Object JR Group E269677 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: JR Group | Statement: [JR West Hanwa Line, railwaySystem, JR Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JR Group
Context triple: [JR West Hanwa Line, railwaySystem, JR Group]
  • A. JR Group chosen
    JR Group is a collective of regional passenger railway companies in Japan that emerged from the privatization of the former Japanese National Railways.
  • B. Keihan Group
    Keihan Group is a Japanese corporate conglomerate centered on the Keihan Electric Railway that operates transportation, real estate, retail, and leisure businesses in the Kansai region.
  • C. Marui Group
    Marui Group is a Japanese retail and financial services company best known for operating fashion-oriented department stores and providing credit card and related consumer finance services.
  • D. ANA Group
    ANA Group is a major Japanese aviation conglomerate centered around All Nippon Airways, operating passenger and cargo airlines as well as related aviation services.
  • E. Keio Corporation
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda34ba508190be8e2c9e4052adfc completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.