Triple

T2303040
Position Surface form Disambiguated ID Type / Status
Subject Camp Nou E51773 entity
Predicate publicTransitStation P6657 FINISHED
Object Les Corts E253359 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: Les Corts | Statement: [Camp Nou, publicTransitStation, Les Corts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Corts
Context triple: [Camp Nou, publicTransitStation, Les Corts]
  • A. Les Corts chosen
    Les Corts is a district in the western part of Barcelona, Spain, known for its residential character and for hosting the FC Barcelona stadium, Camp Nou.
  • B. Orfeó Català
    Orfeó Català is a historic Catalan choral society and cultural institution based in Barcelona, renowned for promoting Catalan music and choral traditions.
  • C. Badalona
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • D. Casal Català
    Casal Català is a type of cultural and social center that brings together members of the Catalan diaspora to promote Catalan language, traditions, and community life abroad.
  • E. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abd0d6b0e48190aee9131ca182e52f completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae89575e648190a2e7b5b2e011bd30 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.