Triple

T239271
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object Gachetá
Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
 E34710 NE FINISHED

How this triple was built (4 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: Gachetá | Statement: [Cundinamarca, contains, Gachetá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gachetá
Context triple: [Cundinamarca, contains, Gachetá]
  • A. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gachetá
Triple: [Cundinamarca, contains, Gachetá]
Generated description
Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gachetá
Target entity description: Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • A. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • F. None of above. chosen

Provenance (5 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389a9bb7c81909b60569e4c6074fb completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a53a07881908a1e1a0773680044 completed March 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69a38acac1ec81909578321bb8b0bfd2 completed March 1, 2026, 12:39 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.