Triple

T15523850
Position Surface form Disambiguated ID Type / Status
Subject David Trezeguet E369033 entity
Predicate playedFor P2170 FINISHED
Object Baniyas Club E365863 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: Baniyas Club | Statement: [David Trezeguet, playedFor, Baniyas Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baniyas Club
Context triple: [David Trezeguet, playedFor, Baniyas Club]
  • A. Baniyas Club chosen
    Baniyas Club is a professional football club from the United Arab Emirates that competes in the country’s top-tier league and is known for developing local talent.
  • B. Al Okhdood Club
    Al Okhdood Club is a professional football team from Saudi Arabia that competes in the country’s top-tier Saudi Pro League.
  • C. Emirates Club
    Emirates Club is a professional football club based in the United Arab Emirates that competes in the country’s top-tier league.
  • D. Ajman Club
    Ajman Club is a professional football team based in Ajman, United Arab Emirates, competing in the country’s top-tier league system.
  • E. 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.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.