Triple

T7366327
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Area of Bogotá E169878 entity
Predicate hasMunicipality P847 FINISHED
Object Mosquera E36495 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: Mosquera | Statement: [Metropolitan Area of Bogotá, hasMunicipality, Mosquera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosquera
Context triple: [Metropolitan Area of Bogotá, hasMunicipality, Mosquera]
  • A. Mosquera chosen
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • B. Bochica
    Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
  • C. Lleras
    Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • D. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • 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_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_69c84ee2397481909552cec2d4b90cc5 completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 3:06 p.m.