Triple
T23219170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Roldán Betancourt Airport |
E580837
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Carepa |
—
|
NE NERFINISHED |
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: Carepa | Statement: [Antonio Roldán Betancourt Airport, locatedNear, Carepa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carepa Context triple: [Antonio Roldán Betancourt Airport, locatedNear, Carepa]
-
A.
Carepa
chosen
Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
-
B.
Rumuosi
Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
-
C.
Apața
Apața is a village in Brașov County, central Romania, known for its multicultural heritage and location within the historic Țara Bârsei region.
-
D.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
E.
Curca
Curca is a village in the Tiswadi region of North Goa, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191675de48190858907872a065c56 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.