Triple

T8406098
Position Surface form Disambiguated ID Type / Status
Subject Alto Guavio Province E198503 entity
Predicate capital P234 FINISHED
Object Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
 E731293 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: Gachalá | Statement: [Alto Guavio Province, capital, Gachalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gachalá
Context triple: [Alto Guavio Province, capital, Gachalá]
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • 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: Gachalá
Triple: [Alto Guavio Province, capital, Gachalá]
Generated description
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gachalá
Target entity description: Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03035e148190867b60ddaeb8d761 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.