Triple

T1459352
Position Surface form Disambiguated ID Type / Status
Subject Boyacá Department E31473 entity
Predicate vehicleRegistrationCode P1173 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: [Boyacá Department, vehicleRegistrationCode, Boyacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyacá
Context triple: [Boyacá Department, vehicleRegistrationCode, 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9daa748190865d97f632ab8a37 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8 p.m.