Triple

T8089103
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Casanare E188808 entity
Predicate hasMainCity P3940 FINISHED
Object Yopal E663790 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: Yopal | Statement: [Departamento de Casanare, hasMainCity, Yopal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yopal
Context triple: [Departamento de Casanare, hasMainCity, Yopal]
  • A. Yopal chosen
    Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
  • B. Barrancabermeja
    Barrancabermeja is a Colombian city known as a major oil refining and petrochemical center located along the Magdalena River.
  • C. Tumaco
    Tumaco is a coastal city and municipality in southwestern Colombia, known for its Afro-Colombian culture, Pacific beaches, and rich pre-Hispanic goldworking heritage.
  • D. Suesca
    Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
  • E. Sogamoso
    Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
  • 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.