Triple

T5334150
Position Surface form Disambiguated ID Type / Status
Subject Real Betis Balompié E123784 entity
Predicate shortName P43 FINISHED
Object Betis E123784 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: Betis | Statement: [Real Betis Balompié, shortName, Betis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betis
Context triple: [Real Betis Balompié, shortName, Betis]
  • A. Real Betis Balompié chosen
    Real Betis Balompié is a historic Spanish professional football club based in Seville that competes in La Liga and is known for its passionate fanbase and green-and-white colors.
  • B. 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.
  • C. Sevilla FC
    Sevilla FC is a professional Spanish football club based in Seville, best known for its success in European competitions, particularly the UEFA Europa League.
  • D. Real Sociedad
    Real Sociedad is a professional football club based in San Sebastián, Spain, known for competing in La Liga and developing talented Spanish players.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf290fc4448190ad9e9c5e880904a8 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2 p.m.