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.