Triple

T426170
Position Surface form Disambiguated ID Type / Status
Subject Gold Museum (Museo del Oro) E9611 entity
Predicate focusesOnCulture P3114 FINISHED
Object Nariño
Nariño is a department in southwestern Colombia known for its rich indigenous heritage, Andean and Pacific landscapes, and vibrant cultural traditions.
 E55901 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: Nariño | Statement: [Gold Museum (Museo del Oro), focusesOnCulture, Nariño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nariño
Context triple: [Gold Museum (Museo del Oro), focusesOnCulture, Nariño]
  • A. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • B. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • C. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • D. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • E. Mosquera
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • 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: Nariño
Triple: [Gold Museum (Museo del Oro), focusesOnCulture, Nariño]
Generated description
Nariño is a department in southwestern Colombia known for its rich indigenous heritage, Andean and Pacific landscapes, and vibrant cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nariño
Target entity description: Nariño is a department in southwestern Colombia known for its rich indigenous heritage, Andean and Pacific landscapes, and vibrant cultural traditions.
  • A. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • B. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • C. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • D. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • E. Mosquera
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f01be4108190b4c13346afd95a03 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e6ea6b08190b80a73d43af4a269 completed March 1, 2026, 1:26 p.m.
NEDg Description generation batch_69a440548aec81909ef1be2e8d3bd486 completed March 1, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69a440e991408190a2b26a552fec32a8 completed March 1, 2026, 1:36 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.