Triple

T1569865
Position Surface form Disambiguated ID Type / Status
Subject Antioquia Department E33513 entity
Predicate containsCity P294 FINISHED
Object Envigado
Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
E182655 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: Envigado | Statement: [Antioquia Department, containsCity, Envigado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Envigado
Context triple: [Antioquia Department, containsCity, Envigado]
  • A. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. 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.
  • 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
  • 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: Envigado
Triple: [Antioquia Department, containsCity, Envigado]
Generated description
Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Envigado
Target entity description: Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
  • A. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. 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.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b67304819081ad555000e51197 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51af2de8819087d287d65aabbf1a completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad523ae04c819099431e09cf1eb953 completed March 8, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad52b3dcf081909e73fba891e985b2 completed March 8, 2026, 10:43 a.m.
Created at: March 4, 2026, 7:27 p.m.