Triple

T239259
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object La Calera
La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
 E40577 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: La Calera | Statement: [Cundinamarca, contains, La Calera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Calera
Context triple: [Cundinamarca, contains, La Calera]
  • A. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • C. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Colonia del Valle
    Colonia del Valle is an affluent, centrally located neighborhood in Mexico City known for its residential character, commercial avenues, and urban amenities.
  • E. Bariloche
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • 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: La Calera
Triple: [Cundinamarca, contains, La Calera]
Generated description
La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Calera
Target entity description: La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
  • A. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • C. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Colonia del Valle
    Colonia del Valle is an affluent, centrally located neighborhood in Mexico City known for its residential character, commercial avenues, and urban amenities.
  • E. Bariloche
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41191a08190afc0fd06d6845d68 completed March 1, 2026, 4:44 a.m.
NEDg Description generation batch_69a3c562ebb88190a01b4621cf4512aa completed March 1, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_69a3c5b8a64c8190a8526e70c49554dd completed March 1, 2026, 4:51 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.