Triple

T22744206
Position Surface form Disambiguated ID Type / Status
Subject Ajuntament de Badalona E562503 entity
Predicate locatedIn P40 FINISHED
Object Badalona 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: Badalona | Statement: [Ajuntament de Badalona, locatedIn, Badalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badalona
Context triple: [Ajuntament de Badalona, locatedIn, Badalona]
  • A. Badalona chosen
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • B. La Catalana
    La Catalana is a neighborhood within the municipality of Sant Adrià de Besòs in the metropolitan area of Barcelona, Spain.
  • C. La Sagrera
    La Sagrera is a major multimodal transport hub in Barcelona that serves as an interchange between several metro lines, commuter trains, and future high-speed rail services.
  • D. L’Estartit
    L’Estartit is a coastal town on Spain’s Costa Brava, known for its beaches and proximity to the protected Medes Islands marine reserve.
  • E. Bordón
    Bordón is a small rural village in the Maestrazgo comarca of Aragón, Spain, known for its traditional architecture and mountainous surroundings.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797590f08190a784f73fcd27b101 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.