Triple

T239270
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object Ubaté
Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
 E33390 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: Ubaté | Statement: [Cundinamarca, contains, Ubaté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ubaté
Context triple: [Cundinamarca, contains, Ubaté]
  • A. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
  • B. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • C. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • D. 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.
  • E. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • 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: Ubaté
Triple: [Cundinamarca, contains, Ubaté]
Generated description
Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ubaté
Target entity description: Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
  • A. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
  • B. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • C. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • D. 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.
  • E. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • 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_69a379552ca081908b2c6043714f7042 completed Feb. 28, 2026, 11:25 p.m.
NEDg Description generation batch_69a37a79036081909c885007c205c375 completed Feb. 28, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69a37d397e0c8190b6298f5f23188047 completed Feb. 28, 2026, 11:41 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.