Triple

T23271306
Position Surface form Disambiguated ID Type / Status
Subject Durinho E588296 entity
Predicate team P3756 FINISHED
Object Kill Cliff FC 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: Kill Cliff FC | Statement: [Durinho, team, Kill Cliff FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kill Cliff FC
Context triple: [Durinho, team, Kill Cliff FC]
  • A. Kill Cliff FC chosen
    Kill Cliff FC is a prominent mixed martial arts gym and fight team based in Florida, known for training elite UFC fighters such as former welterweight champion Kamaru Usman.
  • B. Keith F.C.
    Keith F.C. is a Scottish football club based in the town of Keith that competes in the Highland Football League.
  • C. Central FC
    Central FC is a professional football club from Trinidad and Tobago known for competing in regional tournaments such as the CONCACAF Champions League.
  • D. Big Bullets FC
    Big Bullets FC is a prominent Malawian football club based in Blantyre, known as one of the country’s most successful and popular teams.
  • E. Valour Football Club
    Valour Football Club is a professional Canadian soccer team based in Winnipeg, Manitoba, that competes in the Canadian Premier League.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957418fc819085ee528622e0c6de completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:46 p.m.