Triple

T23162584
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Cádiz E578625 entity
Predicate contains P35 FINISHED
Object Villamartín 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: Villamartín | Statement: [Sierra de Cádiz, contains, Villamartín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villamartín
Context triple: [Sierra de Cádiz, contains, Villamartín]
  • A. Villamartín chosen
    Villamartín is a town in the province of Cádiz in Andalusia, southern Spain, known for its agricultural surroundings and proximity to the Sierra de Grazalema.
  • B. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • C. Villaba
    Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
  • D. Villalba
    Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
  • E. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • 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.