Triple

T23162595
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Cádiz E578625 entity
Predicate contains P35 FINISHED
Object Villaluenga del Rosario 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: Villaluenga del Rosario | Statement: [Sierra de Cádiz, contains, Villaluenga del Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villaluenga del Rosario
Context triple: [Sierra de Cádiz, contains, Villaluenga del Rosario]
  • A. Villaluenga del Rosario chosen
    Villaluenga del Rosario is a small, picturesque white village in the province of Cádiz, Spain, known for its dramatic mountain setting and traditional Andalusian character.
  • B. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • C. Villalba
    Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
  • D. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • E. Villanueva del Pardillo
    Villanueva del Pardillo is a municipality in the Community of Madrid, Spain, known for its residential character and proximity to the capital.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f019cd881908e3c68d99454da2a completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.