Triple

T7366378
Position Surface form Disambiguated ID Type / Status
Subject Cota, Cundinamarca E169879 entity
Predicate hasNeighbor P5707 FINISHED
Object Chía, Cundinamarca E646970 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: Chía, Cundinamarca | Statement: [Cota, Cundinamarca, hasNeighbor, Chía, Cundinamarca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chía, Cundinamarca
Context triple: [Cota, Cundinamarca, hasNeighbor, Chía, Cundinamarca]
  • A. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • B. Chowchillan
    A Chowchillan is a resident or native of the city of Chowchilla in California.
  • C. Chía town chosen
    Chía town is a historic urban center in the Cundinamarca Department of Colombia, now a suburban municipality of the Bogotá metropolitan area known for its colonial heritage and rapid modern growth.
  • D. 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.
  • E. Villapinzón
    Villapinzón is a Colombian town and municipality in the department of Cundinamarca, known for its leather industry and location in the Andean highlands.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab9820c8190aa8b519a0852af6e completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.