Triple

T2302976
Position Surface form Disambiguated ID Type / Status
Subject Trambesòs E51772 entity
Predicate servesMunicipality P3936 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: [Trambesòs, servesMunicipality, Badalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badalona
Context triple: [Trambesòs, servesMunicipality, 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. Bon Viatge
    Bon Viatge is a tram terminus station on Barcelona’s Trambaix light rail network, serving the Santa Coloma de Cervelló area.
  • D. 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.
  • E. Alegranza
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • 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_69abc5f101dc8190824346e6ae564e51 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f332e788190b1dd4b8b0bbfe5d7 completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.