Triple

T23532557
Position Surface form Disambiguated ID Type / Status
Subject Keio Real Estate E576608 entity
Predicate associatedBrand P1500 FINISHED
Object Keio Group brand 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: Keio Group brand | Statement: [Keio Real Estate, associatedBrand, Keio Group brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio Group brand
Context triple: [Keio Real Estate, associatedBrand, Keio Group brand]
  • A. Keio Corporation chosen
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • B. Hitotsubashi Group
    Hitotsubashi Group is a major Japanese publishing conglomerate that oversees prominent companies such as Shueisha and Shogakukan.
  • C. 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.
  • D. Seibu Group
    Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
  • E. Ken-On Group
    Ken-On Group is a major Japanese talent agency that manages prominent actors, musicians, and entertainers, including Ken Watanabe.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac79800081908907bce55b9c68cf completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:10 p.m.