Triple
T10449944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José María Córdova International Airport |
E246393
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Rionegro |
E180303
|
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: Rionegro | Statement: [José María Córdova International Airport, cityServed, Rionegro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rionegro Context triple: [José María Córdova International Airport, cityServed, Rionegro]
-
A.
Rionegro
chosen
Rionegro is a city in the Antioquia Department of Colombia, known for its historical significance and as a growing commercial and residential hub near Medellín.
-
B.
Rabassa
Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
-
C.
Peñafiel
Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
-
D.
Ubaque
Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
-
E.
Riosucio
Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87efedf6c8190aa4b7bbe5f160eeb |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.