Triple

T5333405
Position Surface form Disambiguated ID Type / Status
Subject Emirates Golf Club E123364 entity
Predicate ownership P347 FINISHED
Object Dubai Golf E99310 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: Dubai Golf | Statement: [Emirates Golf Club, ownership, Dubai Golf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai Golf
Context triple: [Emirates Golf Club, ownership, Dubai Golf]
  • A. Emirates Golf Club
    Emirates Golf Club is a prominent golf and leisure destination in Dubai, known for its championship courses and hosting major international golf tournaments.
  • B. Dubai Creek Golf & Yacht Club chosen
    Dubai Creek Golf & Yacht Club is a waterfront leisure and sporting complex in Dubai known for its championship golf course, marina, and iconic clubhouse overlooking Dubai Creek.
  • C. Riffa Golf Club
    Riffa Golf Club is a premier golf course and leisure destination in Riffa, Bahrain, known for its well-designed greens and upscale facilities.
  • D. 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.
  • E. El Golf
    El Golf is a Santiago Metro station on Line 1 located in the upscale financial and commercial district of Las Condes, Santiago, Chile.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.