Triple

T1822786
Position Surface form Disambiguated ID Type / Status
Subject La Calera E40577 entity
Predicate borders P224 FINISHED
Object Choachí
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
 E220006 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: Choachí | Statement: [La Calera, borders, Choachí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Choachí
Context triple: [La Calera, borders, Choachí]
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • D. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • E. Tejipió
    Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
  • 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: Choachí
Triple: [La Calera, borders, Choachí]
Generated description
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Choachí
Target entity description: Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • D. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • E. Tejipió
    Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662d13e88190a22b0faf0d848c7d completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb9f3354819097ce858a8706c324 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc81697c8190b0dd847649f28923 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfdc8a7f481909b2ee0b4444cf4b9 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:32 p.m.