Triple

T18517463
Position Surface form Disambiguated ID Type / Status
Subject Casanare campaign E452501 entity
Predicate location P40 FINISHED
Object Casanare 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: Casanare | Statement: [Casanare campaign, location, Casanare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casanare
Context triple: [Casanare campaign, location, Casanare]
  • A. Casanare Department chosen
    Casanare Department is an eastern Colombian department located in the Llanos region, known for its vast plains, cattle ranching, and oil production.
  • B. Chocó Department
    Chocó Department is a rainforest-covered region in western Colombia known for its high biodiversity, heavy rainfall, and significant Afro-Colombian and Indigenous Emberá populations.
  • C. Quindío
    Quindío is a small, coffee-producing department in Colombia’s Andean region, known for its lush landscapes, coffee culture, and role in the UNESCO-listed Coffee Cultural Landscape.
  • D. Cauca Department
    Cauca Department is an administrative region in southwestern Colombia known for its diverse geography, rich indigenous and Afro-Colombian cultural heritage, and capital city of Popayán.
  • E. Nariño
    Nariño is a department in southwestern Colombia known for its rich indigenous heritage, Andean and Pacific landscapes, and vibrant cultural traditions.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338b2cd0819095db59f6bfc70814 completed April 19, 2026, 7:56 p.m.
Created at: April 10, 2026, 11:36 a.m.