Triple

T1459322
Position Surface form Disambiguated ID Type / Status
Subject Boyacá Department E31473 entity
Predicate hasTown P847 FINISHED
Object Guateque
Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
E170740 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: Guateque | Statement: [Boyacá Department, hasTown, Guateque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guateque
Context triple: [Boyacá Department, hasTown, Guateque]
  • A. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • B. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • C. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • 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: Guateque
Triple: [Boyacá Department, hasTown, Guateque]
Generated description
Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guateque
Target entity description: Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
  • A. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • B. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • C. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9daa748190865d97f632ab8a37 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1ec2adb881909e8477e1ca6c7d6e completed March 8, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69ad1f504aa08190b4b27ba8519403ee completed March 8, 2026, 7:03 a.m.
Created at: March 1, 2026, 8 p.m.