Triple

T16601278
Position Surface form Disambiguated ID Type / Status
Subject Barrio de Pacífico E403334 entity
Predicate adjacentTo P224 FINISHED
Object Barrio de Ibiza E403332 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: Barrio de Ibiza | Statement: [Barrio de Pacífico, adjacentTo, Barrio de Ibiza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrio de Ibiza
Context triple: [Barrio de Pacífico, adjacentTo, Barrio de Ibiza]
  • A. Barrio de Ibiza chosen
    Barrio de Ibiza is a residential neighborhood in Madrid known for its proximity to El Retiro Park and its mix of traditional shops, bars, and local services.
  • B. Gavà
    Gavà is a coastal municipality in Catalonia, Spain, located near Barcelona and known for its beaches and archaeological heritage.
  • C. Valldemossa
    Valldemossa is a picturesque mountain village on the Spanish island of Mallorca, renowned for its historic Carthusian monastery and scenic stone streets.
  • D. El Cabanyal
    El Cabanyal is a historic seaside neighborhood in Valencia, Spain, known for its traditional fishermen’s houses and distinctive colorful tilework.
  • E. Burjassot
    Burjassot is a municipality in the metropolitan area of Valencia, Spain, known for its residential character and proximity to major university and research facilities.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d764574819081366374ca0c9bea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.