Triple
T18786184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCTL |
E459381
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Panguilemo 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: Panguilemo Airport | Statement: [SCTL, identifies, Panguilemo Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panguilemo Airport Context triple: [SCTL, identifies, Panguilemo Airport]
-
A.
Panguilemo Airport
chosen
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
B.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
-
C.
Yariguíes Airport
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
-
D.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
E.
Mitú Airport
Mitú Airport is a regional public airport serving the remote town of Mitú in Colombia’s Vaupés Department, providing vital air connectivity to this isolated Amazonian area.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978154ac819096356d2a488b45f0 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.