Triple

T17864401
Position Surface form Disambiguated ID Type / Status
Subject 2018 Mediterranean Games E446654 entity
Predicate location P40 FINISHED
Object Torredembarra 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: Torredembarra | Statement: [2018 Mediterranean Games, location, Torredembarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torredembarra
Context triple: [2018 Mediterranean Games, location, Torredembarra]
  • A. Torredembarra chosen
    Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
  • B. Pedralba
    Pedralba is a municipality in the province of Valencia, Spain, known for its rural landscape and location along the Turia River.
  • C. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • D. Tordera
    Tordera is a municipality in the Maresme comarca of Catalonia, Spain, known for its rural landscapes and proximity to the Costa Brava.
  • E. Torrelavit
    Torrelavit is a small wine-producing municipality in Catalonia, Spain, situated in the Alt Penedès comarca known for its vineyards and cava.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49792ccf88190a0984963bb385688 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.