Triple

T11197642
Position Surface form Disambiguated ID Type / Status
Subject Derbi barceloní E264962 entity
Predicate alsoKnownAs P39 FINISHED
Object Barcelona derby E264962 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: Barcelona derby | Statement: [Derbi barceloní, alsoKnownAs, Barcelona derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona derby
Context triple: [Derbi barceloní, alsoKnownAs, Barcelona derby]
  • A. Derbi barceloní chosen
    Derbi barceloní is the football rivalry between FC Barcelona and RCD Espanyol, the two main professional clubs based in Barcelona.
  • B. Madrid Derby
    The Madrid Derby is the fiercely contested football rivalry between Real Madrid and Atlético Madrid, two of Spain’s most successful and historic clubs.
  • C. Derbi de la Comunitat
    Derbi de la Comunitat is the fiercely contested regional football rivalry between Valencia CF and Villarreal CF in Spain’s Valencian Community.
  • D. Seville derby
    The Seville derby is the fiercely contested football rivalry match between Sevilla FC and Real Betis, two major clubs from the Spanish city of Seville.
  • E. El Clásico
    El Clásico is the famous and fiercely contested football match between Spain’s two biggest clubs, Real Madrid and FC Barcelona, known for its intense rivalry and global audience.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4970df7cc81909c3b07ead58513e8 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.