Triple

T17378733
Position Surface form Disambiguated ID Type / Status
Subject Cymru Premier E422508 entity
Predicate sponsor P67 FINISHED
Object JD Sports 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: JD Sports | Statement: [Cymru Premier, sponsor, JD Sports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JD Sports
Context triple: [Cymru Premier, sponsor, JD Sports]
  • A. JD Sports chosen
    JD Sports is a major UK-based retail chain specializing in branded sportswear, footwear, and athletic fashion.
  • B. JJB Sports
    JJB Sports was a major British sports retail chain known for selling sporting goods, apparel, and equipment across the UK before its eventual decline and closure.
  • C. Umbro
    Umbro is a British sportswear and football equipment brand best known for designing and supplying kits for clubs and national teams worldwide.
  • D. PUMA
    PUMA is a physics experiment that studies the properties and interactions of antiprotons at CERN’s Extra Low ENergy Antiproton ring (ELENA).
  • E. Reebok
    Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a840cd08190af3385388afb8c8f completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.