Triple

T22244659
Position Surface form Disambiguated ID Type / Status
Subject Yonex E549810 entity
Predicate hasSubsidiary P254 FINISHED
Object Yonex Co., Ltd. Europe 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: Yonex Co., Ltd. Europe | Statement: [Yonex, hasSubsidiary, Yonex Co., Ltd. Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonex Co., Ltd. Europe
Context triple: [Yonex, hasSubsidiary, Yonex Co., Ltd. Europe]
  • A. Yonex chosen
    Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
  • B. Daiwa House Industry
    Daiwa House Industry is a major Japanese construction and real estate development company known for large-scale commercial, residential, and mixed-use projects.
  • C. Babolat
    Babolat is a French sports equipment company best known for its high-performance tennis racquets and strings used by many top professional players.
  • D. Yoki, Inc.
    Yoki, Inc. is a film and television production company known for developing and producing screen content such as the project titled "The King."
  • E. Kyo-ya Company
    Kyo-ya Company is a hospitality and real estate firm best known for owning and operating prominent resort properties in Hawaii, including the historic Royal Hawaiian Hotel in Waikiki.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.