Triple

T17797087
Position Surface form Disambiguated ID Type / Status
Subject Dubai World Cup Carnival E444321 entity
Predicate organizer P123 FINISHED
Object Dubai Racing Club 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: Dubai Racing Club | Statement: [Dubai World Cup Carnival, organizer, Dubai Racing Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai Racing Club
Context triple: [Dubai World Cup Carnival, organizer, Dubai Racing Club]
  • A. Dubai Racing Club chosen
    Dubai Racing Club is the official horse racing authority in Dubai, best known for staging major international thoroughbred events at Meydan Racecourse.
  • B. Ras Al Khaimah Club
    Ras Al Khaimah Club is a professional football club based in the emirate of Ras Al Khaimah in the United Arab Emirates.
  • C. El Mourouj
    El Mourouj is a suburban town in northern Tunisia that forms part of the greater Tunis metropolitan area.
  • D. Nad Al Sheba Racecourse
    Nad Al Sheba Racecourse was a major horse racing venue in Dubai, United Arab Emirates, best known as the former home of the Dubai World Cup before being replaced by Meydan Racecourse.
  • E. Dubai Turf
    Dubai Turf is a prestigious Group 1 flat horse race in Dubai, run over turf as part of the Dubai World Cup night.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fbc83481909a30fc7203b64099 completed April 19, 2026, 7:44 a.m.
Created at: April 10, 2026, 10:13 a.m.