Triple

T12595703
Position Surface form Disambiguated ID Type / Status
Subject Muysca E300724 entity
Predicate region P40 FINISHED
Object Boyacá E31473 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: Boyacá | Statement: [Muysca, region, Boyacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyacá
Context triple: [Muysca, region, Boyacá]
  • A. 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.
  • B. Nariño
    Nariño is a department in southwestern Colombia known for its rich indigenous heritage, Andean and Pacific landscapes, and vibrant cultural traditions.
  • C. Boyacá Department chosen
    Boyacá Department is a region in central Colombia known for its Andean landscapes, colonial towns like Villa de Leyva, and its historical role in the country’s independence.
  • D. Boyacá Chicó
    Boyacá Chicó is a Colombian professional football club based in Tunja, known for competing in the country's top-tier league and for its rapid rise from the lower divisions in the 2000s.
  • E. Puerto Boyacá
    Puerto Boyacá is a Colombian river port town on the Magdalena River known for its oil industry and strategic commercial importance.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.