Triple
T22386633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Placencia |
E553411
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Placencia Airport |
—
|
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: Placencia Airport | Statement: [Placencia, hasTransport, Placencia Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Placencia Airport Context triple: [Placencia, hasTransport, Placencia Airport]
-
A.
Placencia Airport
chosen
Placencia Airport is a small regional airport in southern Belize that serves the coastal village of Placencia and its surrounding tourist destinations.
-
B.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
C.
Villamontes Airport
Villamontes Airport is a public airport serving the town of Villamontes in Bolivia, providing regional air transport connections.
-
D.
Vilo Acuña Airport
Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
-
E.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158304bcc81908c4c5db09a246bcc |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.