Triple

T10742568
Position Surface form Disambiguated ID Type / Status
Subject Palau Reial E253363 entity
Predicate locatedInDistrict P40 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: [Palau Reial, locatedInDistrict, Les Corts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Corts
Context triple: [Palau Reial, locatedInDistrict, 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. Los Cristianos
    Los Cristianos is a popular coastal resort town on the south coast of Tenerife in Spain’s Canary Islands, known for its beaches, harbor, and vibrant tourist amenities.
  • D. Ascó
    Ascó is a municipality in Catalonia, Spain, best known for hosting one of the country’s major nuclear power plants along the Ebro River.
  • E. Badalona
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.