Triple
T13668368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaupés Department |
E327683
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Mitú |
E307984
|
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: Mitú | Statement: [Vaupés Department, capital, Mitú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitú Context triple: [Vaupés Department, capital, Mitú]
-
A.
Mitú
chosen
Mitú is a remote Colombian town that serves as the capital of the Vaupés Department in the Amazon rainforest, known for its indigenous communities and dense jungle surroundings.
-
B.
Penonomé
Penonomé is a city in central Panama that serves as an administrative, commercial, and cultural hub for the surrounding region.
-
C.
Wayuunaiki
Wayuunaiki is an indigenous Arawakan language spoken primarily by the Wayuu people in the Guajira Peninsula of northern Colombia and northwestern Venezuela.
-
D.
Guasa Guasa
"Guasa Guasa" is a popular reggaeton track by Puerto Rican rapper Tego Calderón that helped establish his distinctive style in the Latin urban music scene.
-
E.
Guapi
Guapi is a coastal town and municipality on Colombia’s Pacific coast, known for its Afro-Colombian culture, mangrove ecosystems, and riverine access to the Pacific Ocean.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.