Triple
T34465969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabadell Airport |
E884767
|
entity |
| Predicate | hasCommercialAirlineTraffic |
—
|
GENERATED |
| Object | no |
—
|
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: hasCommercialAirlineTraffic Context triple: [Sabadell Airport, hasCommercialAirlineTraffic, no]
-
A.
hasCommercialTrafficTo
Indicates that there is ongoing commercial traffic or trade activity directed from one entity to another.
-
B.
hasCruiseTraffic
Indicates that there is cruise ship traffic occurring at or involving a particular location or route.
-
C.
hasNoRegularCommercialAirlineService
chosen
Indicates that a location or facility is not served by any scheduled, routine commercial airline flights.
-
D.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
-
E.
airTraffic
Indicates the movement and flow of aircraft through airspace, including their routes, density, and interactions while in flight.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:01 a.m.