Triple

T7186460
Position Surface form Disambiguated ID Type / Status
Subject Muysccubun E167583 entity
Predicate revitalizationEffortIn P75892 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: [Muysccubun, revitalizationEffortIn, Boyacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyacá
Context triple: [Muysccubun, revitalizationEffortIn, 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. Puerto Boyacá
    Puerto Boyacá is a Colombian river port town on the Magdalena River known for its oil industry and strategic commercial importance.
  • E. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6f04089408190aa20ed6767590ae1 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db0401f481909cc09c2b8c23cd24 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:49 p.m.