Triple

T19440639
Position Surface form Disambiguated ID Type / Status
Subject Daimaru Shinsaibashi department store E486340 entity
Predicate operatedBy P86 FINISHED
Object Daimaru 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: Daimaru | Statement: [Daimaru Shinsaibashi department store, operatedBy, Daimaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daimaru
Context triple: [Daimaru Shinsaibashi department store, operatedBy, Daimaru]
  • A. Daimaru chosen
    Daimaru is a major Japanese department store chain known for its upscale retail offerings and long-established presence in Japan’s urban shopping districts.
  • B. Takashimaya
    Takashimaya is a major Japanese department store chain known for its upscale merchandise and flagship locations in Japan and abroad.
  • C. Keihan Department Stores
    Keihan Department Stores is a Japanese retail chain operating department stores primarily in the Kansai region, offering a wide range of fashion, lifestyle, and household goods.
  • D. SOGO Department Store
    SOGO Department Store is a major Japanese-style department store chain in Taiwan known for its wide range of retail shops, dining options, and convenient locations in busy commercial districts.
  • E. Système U
    Système U was a French professional cycling team of the 1980s, known for competing in major road races such as the Tour de France.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63364371081908e899c2a47af4e5d completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.