Triple
T34006807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBLV |
E871987
|
entity |
| Predicate | primaryPassengerAirline |
—
|
GENERATED |
| Object | Allegiant Air |
—
|
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: primaryPassengerAirline Context triple: [KBLV, primaryPassengerAirline, Allegiant Air]
-
A.
primaryPassengerOperatorOnRoute
Indicates that an operator is the main provider of passenger services on a specific route.
-
B.
primaryAirlinePartner
Indicates that one airline serves as the main or preferred partner airline for another entity, such as a traveler, company, or loyalty program.
-
C.
primaryHubAirline
chosen
Indicates that an airline serves as the main or principal hub carrier for a particular airport or location.
-
D.
associatedAirlinePrimaryMarket
Indicates that an airline is primarily associated with, or operates chiefly within, a particular geographic or commercial market.
-
E.
primaryAircraftOperator
Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.