Triple

T7925618
Position Surface form Disambiguated ID Type / Status
Subject Keio department store E184052 entity
Predicate ownedBy P347 FINISHED
Object Keio Group E138695 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: Keio Group | Statement: [Keio department store, ownedBy, Keio Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio Group
Context triple: [Keio department store, ownedBy, Keio Group]
  • 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. 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. Seibu Group
    Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
  • D. Odakyu Group
    Odakyu Group is a major Japanese private railway and diversified corporate group centered around Odakyu Electric Railway, operating transportation, retail, real estate, and leisure businesses.
  • E. 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.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63aae4dc81908cbe4a89d6bd359c completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:06 p.m.