Triple

T8151513
Position Surface form Disambiguated ID Type / Status
Subject Michael Laudrup E190343 entity
Predicate coachOfSportsTeam P2169 FINISHED
Object Getafe CF E395618 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: Getafe CF | Statement: [Michael Laudrup, coachOfSportsTeam, Getafe CF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getafe CF
Context triple: [Michael Laudrup, coachOfSportsTeam, Getafe CF]
  • A. Getafe CF chosen
    Getafe CF is a Spanish professional football club based in the Madrid suburb of Getafe that competes in La Liga.
  • B. CF Rayo Majadahonda
    CF Rayo Majadahonda is a Spanish football club based in the Madrid suburb of Majadahonda, known for competing in the lower professional tiers of Spanish football.
  • C. Burgos CF
    Burgos CF is a Spanish football club based in the city of Burgos, known for competing in the country’s professional leagues and maintaining regional rivalries such as with Real Valladolid.
  • D. Algeciras CF
    Algeciras CF is a Spanish football club based in Algeciras, Andalusia, competing in the lower divisions of the national league system.
  • E. Villarreal CF
    Villarreal CF is a Spanish professional football club from the province of Castellón, known for competing in La Liga and for its strong performances in domestic and European competitions.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e5358888190ad1b5771ca00a097 completed April 3, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:37 p.m.