Triple

T8089082
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Casanare E188808 entity
Predicate hasMunicipality P847 FINISHED
Object Orocué E665624 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: Orocué | Statement: [Departamento de Casanare, hasMunicipality, Orocué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orocué
Context triple: [Departamento de Casanare, hasMunicipality, Orocué]
  • A. Orocué chosen
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • B. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • E. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • 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_69cd342a5fb88190b9225ba50e2124b8 completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:29 p.m.