Triple

T16060288
Position Surface form Disambiguated ID Type / Status
Subject Miravet E389589 entity
Predicate locatedNear P294 FINISHED
Object Ascó E389586 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: Ascó | Statement: [Miravet, locatedNear, Ascó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascó
Context triple: [Miravet, locatedNear, Ascó]
  • A. Ascó chosen
    Ascó is a municipality in Catalonia, Spain, best known for hosting one of the country’s major nuclear power plants along the Ebro River.
  • B. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • C. Caló
    Caló is a mixed Iberian Romani sociolect that blends Romani vocabulary with Spanish (and sometimes Portuguese) grammar, traditionally spoken by the Romani communities of the Iberian Peninsula.
  • D. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • E. Baarìa
    Baarìa is an Italian epic drama film directed by Giuseppe Tornatore that chronicles several generations of life, politics, and love in a Sicilian town.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.