Triple

T1912860
Position Surface form Disambiguated ID Type / Status
Subject Tocancipá E38147 entity
Predicate neighbouringMunicipality P33892 FINISHED
Object Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
 E227047 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: Gachancipá | Statement: [Tocancipá, neighbouringMunicipality, Gachancipá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gachancipá
Context triple: [Tocancipá, neighbouringMunicipality, Gachancipá]
  • A. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • 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: Gachancipá
Triple: [Tocancipá, neighbouringMunicipality, Gachancipá]
Generated description
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gachancipá
Target entity description: Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • A. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c376208190bbf28504f1aac881 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ac4ea348190b8f2ebc2f81ea353 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b9c8d3881908582542da9176ede completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0f609210819093427e1d73b61198 completed March 9, 2026, 12:08 a.m.
Created at: March 4, 2026, 7:35 p.m.