Triple
T37694575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FGSL |
E938892
|
entity |
| Predicate | associatedAirportHasScheduledPassengerService |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportHasScheduledPassengerService Context triple: [FGSL, associatedAirportHasScheduledPassengerService, true]
-
A.
airportHasScheduledPassengerService
chosen
Indicates that an airport offers regularly scheduled passenger flight services as part of its operations.
-
B.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
-
C.
servesAirport
Indicates that a transportation service or route provides access to and operates for a particular airport.
-
D.
servesAirportICAO
Indicates that a transportation service or facility operates routes to or from the airport identified by the given ICAO code.
-
E.
servesAirportIATA
Indicates that a transportation service or facility operates routes to or from the airport identified by the given IATA code.
- F. None of above.
Provenance (1 batch)
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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.