Triple

T20270570
Position Surface form Disambiguated ID Type / Status
Subject Benicarló E499080 entity
Predicate locatedSouthOf P9676 FINISHED
Object Vinaròs 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: Vinaròs | Statement: [Benicarló, locatedSouthOf, Vinaròs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinaròs
Context triple: [Benicarló, locatedSouthOf, Vinaròs]
  • A. Vinaròs chosen
    Vinaròs is a coastal town in the province of Castellón, Spain, known for its fishing port, beaches, and historic role in the Spanish Civil War.
  • B. Utiel
    Utiel is a town in the province of Valencia, Spain, known as part of the Utiel-Requena wine-producing region.
  • C. Cullera
    Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
  • D. Vilanova d’Alcolea
    Vilanova d’Alcolea is a small municipality in the province of Castellón, Spain, known for its rural character and proximity to the regional Castellón–Costa Azahar Airport.
  • E. Gandesa
    Gandesa is a historic town in Catalonia, Spain, known for its wine production and role in the Battle of the Ebro during the Spanish Civil War.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dd7c58819095bbf4baeda04d6a completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.