Triple

T6418662
Position Surface form Disambiguated ID Type / Status
Subject Diego Forlán E127890 entity
Predicate playedForClub P2168 FINISHED
Object Villarreal CF E291257 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: Villarreal CF | Statement: [Diego Forlán, playedForClub, Villarreal CF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villarreal CF
Context triple: [Diego Forlán, playedForClub, Villarreal CF]
  • A. Villarreal CF chosen
    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.
  • B. Valencia CF
    Valencia CF is a historic Spanish football club based in Valencia that competes in La Liga and is known for its strong domestic and European pedigree.
  • C. Getafe CF
    Getafe CF is a Spanish professional football club based in the Madrid suburb of Getafe that competes in La Liga.
  • D. Celta de Vigo
    Celta de Vigo is a Spanish professional football club from Vigo, Galicia, known for competing in La Liga and for its intense regional rivalry with Deportivo de La Coruña in the Galician derby.
  • E. Málaga CF
    Málaga CF is a Spanish professional football club based in Málaga that has competed in La Liga and European competitions, notably the UEFA Champions League.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068eb6c988190b54de6182d0f490d completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6002b48190a3c95b704e700c56 completed March 28, 2026, 10:28 a.m.
Created at: March 22, 2026, 4:42 p.m.