Triple

T1941701
Position Surface form Disambiguated ID Type / Status
Subject Suesca E41567 entity
Predicate hasNearbyTown P3883 FINISHED
Object Cucunubá
Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
 E235370 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: Cucunubá | Statement: [Suesca, hasNearbyTown, Cucunubá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cucunubá
Context triple: [Suesca, hasNearbyTown, Cucunubá]
  • A. Guateque
    Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
  • B. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • D. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • 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. 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: Cucunubá
Triple: [Suesca, hasNearbyTown, Cucunubá]
Generated description
Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cucunubá
Target entity description: Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
  • A. Guateque
    Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
  • B. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • D. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • 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. 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3044b25c81908a7ebbc6e62a8053 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae344656348190ad75c06926470706 completed March 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae349e8f9c8190a22350eebee73e83 completed March 9, 2026, 2:46 a.m.
Created at: March 4, 2026, 7:36 p.m.