Triple
T6352935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwannee County Airport |
E142919
|
entity |
| Predicate | airport type |
P20696
|
FINISHED |
| Object | public |
—
|
LITERAL 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: public | Statement: [Suwannee County Airport, airport type, public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airport type Context triple: [Suwannee County Airport, airport type, public]
-
A.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
B.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
C.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
isCivilAirport
chosen
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
E.
hubAirport
Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
- F. None of above.
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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.