Triple

T22144456
Position Surface form Disambiguated ID Type / Status
Subject Dani Pedrosa E547249 entity
Predicate birthPlace P1 FINISHED
Object Sabadell, Catalonia, Spain 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: Sabadell, Catalonia, Spain | Statement: [Dani Pedrosa, birthPlace, Sabadell, Catalonia, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabadell, Catalonia, Spain
Context triple: [Dani Pedrosa, birthPlace, Sabadell, Catalonia, Spain]
  • A. Martorell, Spain
    Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
  • B. El Masnou, Spain
    El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
  • C. Granollers, Spain
    Granollers, Spain is a town in the province of Barcelona, Catalonia, known as an industrial and commercial center near the Montmeló Circuit de Barcelona-Catalunya.
  • D. Sabadell chosen
    Sabadell is a major industrial and commercial city in Catalonia, Spain, known historically for its textile industry and now as part of the Barcelona metropolitan area.
  • E. Castellón, Spain
    Castellón is a coastal city in eastern Spain’s Valencian Community, known for its Mediterranean beaches, historic old town, and proximity to the Prime Meridian.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.