Triple

T10804441
Position Surface form Disambiguated ID Type / Status
Subject Mataró E254926 entity
Predicate locatedOn P40 FINISHED
Object Costa del Maresme E881441 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: Costa del Maresme | Statement: [Mataró, locatedOn, Costa del Maresme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa del Maresme
Context triple: [Mataró, locatedOn, Costa del Maresme]
  • A. Costa Brava
    Costa Brava is a rugged coastal region in northeastern Catalonia, Spain, famed for its picturesque beaches, coves, and seaside towns along the Mediterranean.
  • B. Costa de Barcelona chosen
    Costa de Barcelona is a coastal region in Catalonia, Spain, known for its Mediterranean beaches, cultural heritage, and proximity to the city of Barcelona.
  • C. Badia del Vallès
    Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
  • D. Baix Empordà
    Baix Empordà is a coastal comarca in northeastern Catalonia, Spain, known for its medieval villages, beaches, and coves along the Costa Brava.
  • E. Terres de l’Ebre
    Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344249f648190b541c7fad7a834f5 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:18 p.m.