Triple

T239319
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca Department E4892 entity
Predicate contains P35 FINISHED
Object Madrid, Cundinamarca
Madrid, Cundinamarca is a municipality in central Colombia known for its floriculture and proximity to the capital city of Bogotá.
 E37562 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: Madrid, Cundinamarca | Statement: [Cundinamarca Department, contains, Madrid, Cundinamarca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madrid, Cundinamarca
Context triple: [Cundinamarca Department, contains, Madrid, Cundinamarca]
  • A. Anapoima
    Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
  • B. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. 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.
  • D. Ubaté
    Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
  • 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: Madrid, Cundinamarca
Triple: [Cundinamarca Department, contains, Madrid, Cundinamarca]
Generated description
Madrid, Cundinamarca is a municipality in central Colombia known for its floriculture and proximity to the capital city of Bogotá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madrid, Cundinamarca
Target entity description: Madrid, Cundinamarca is a municipality in central Colombia known for its floriculture and proximity to the capital city of Bogotá.
  • A. Anapoima
    Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
  • B. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. 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.
  • D. Ubaté
    Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
  • 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_69a3a33436d48190a4a6d38f06208540 completed March 1, 2026, 2:23 a.m.
NEDg Description generation batch_69a3a3d1b16c8190af40cad78f3cd935 completed March 1, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69a3a437525c8190b850a8fa841a3af8 completed March 1, 2026, 2:28 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.