Triple

T2280141
Position Surface form Disambiguated ID Type / Status
Subject Province of Barcelona E51261 entity
Predicate hasMunicipality P847 FINISHED
Object Badalona E133624 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: Badalona | Statement: [Province of Barcelona, hasMunicipality, Badalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badalona
Context triple: [Province of Barcelona, hasMunicipality, 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. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • C. Es Vedrà
    Es Vedrà is a dramatic, uninhabited rocky island off the southwest coast of Ibiza, famed for its striking cliffs, sunsets, and associated myths and legends.
  • D. Alegranza
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • E. Triana
    Triana is a historic neighborhood in Las Palmas de Gran Canaria known for its traditional architecture, commercial streets, and cultural significance.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc21ac3d48190abef254e1c3f45e8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e48fb081908498f826167020a2 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.