Triple

T8089078
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Casanare E188808 entity
Predicate hasMunicipality P847 FINISHED
Object Villanueva E658151 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: Villanueva | Statement: [Departamento de Casanare, hasMunicipality, Villanueva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villanueva
Context triple: [Departamento de Casanare, hasMunicipality, Villanueva]
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • C. Villanueva chosen
    Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
  • D. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421c717c819089dd88c30a6401aa completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93f6eb9c8190b33210621d215d56 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:29 p.m.