Triple

T20815621
Position Surface form Disambiguated ID Type / Status
Subject Seville derby E512429 entity
Predicate involvesClub P6630 FINISHED
Object Sevilla 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: Sevilla FC | Statement: [Seville derby, involvesClub, Sevilla FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevilla FC
Context triple: [Seville derby, involvesClub, Sevilla FC]
  • A. Sevilla FC chosen
    Sevilla FC is a professional Spanish football club based in Seville, best known for its success in European competitions, particularly the UEFA Europa League.
  • B. Sevilla Atlético
    Sevilla Atlético is the reserve team of Spanish football club Sevilla FC, competing in the lower divisions and serving as a development squad for young and emerging players.
  • C. 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.
  • 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. Vélez-Málaga
    Vélez-Málaga is a historic coastal town in southern Spain’s Andalusia region, known as an important agricultural and tourist center in the eastern Costa del Sol.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d5a514819093d1a18626de8857 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.