Triple

T1563928
Position Surface form Disambiguated ID Type / Status
Subject Facatativá E33388 entity
Predicate demonym P191 FINISHED
Object Facatativeño
Facatativeño is the Spanish term for a person from Facatativá, a municipality in the Cundinamarca department of Colombia.
E180018 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: Facatativeño | Statement: [Facatativá, demonym, Facatativeño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facatativeño
Context triple: [Facatativá, demonym, Facatativeño]
  • A. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • B. Cajeme
    Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
  • C. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Badiraguato
    Badiraguato is a rural municipality in the Mexican state of Sinaloa, known for its mountainous terrain and as the birthplace of several notorious drug cartel figures.
  • 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: Facatativeño
Triple: [Facatativá, demonym, Facatativeño]
Generated description
Facatativeño is the Spanish term for a person from Facatativá, a municipality in the Cundinamarca department of Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Facatativeño
Target entity description: Facatativeño is the Spanish term for a person from Facatativá, a municipality in the Cundinamarca department of Colombia.
  • A. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • B. Cajeme
    Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
  • C. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9089c7b9881909e44fee8053ac189 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40217be88190ae17abcf1541ec55 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad44074024819087ae57d85cb89654 completed March 8, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad44a1f068819095752e05a0915063 completed March 8, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:27 p.m.