Triple
T5245269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urabá region |
E118442
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Apartadó |
E135529
|
NE FINISHED |
How this triple was built (2 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: Apartadó | Statement: [Urabá region, majorCity, Apartadó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apartadó Context triple: [Urabá region, majorCity, Apartadó]
-
A.
Apartadó
chosen
Apartadó is a municipality in Colombia’s Antioquia Department, known as an important agricultural and commercial center in the Urabá region, especially for banana production.
-
B.
Bucaramanga
Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
-
C.
Tunja
Tunja is a historic city in central Colombia known for its well-preserved colonial architecture and cultural heritage.
-
D.
Popayán
Popayán is a historic colonial city in southwestern Colombia, renowned for its whitewashed architecture, rich religious traditions, and prominent Holy Week celebrations.
-
E.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe68e1148190b2e3cc1f9e49dbbf |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:49 p.m.