Triple

T11554913
Position Surface form Disambiguated ID Type / Status
Subject Province of Alicante E273993 entity
Predicate contains P35 FINISHED
Object Villena E468774 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: Villena | Statement: [Province of Alicante, contains, Villena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villena
Context triple: [Province of Alicante, contains, Villena]
  • A. Villena chosen
    Villena is a historic city in the province of Alicante, Spain, known for its medieval castle, archaeological heritage, and traditional festivals.
  • B. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • C. Aljustrel
    Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
  • D. Alquézar
    Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
  • E. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a86be308190973fea5d7db8ba9d completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e865c3008190bc2f04a1048f2fed completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.