Triple
T35604458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devonport Airport |
E1028845
|
entity |
| Predicate | primaryAirlineType |
—
|
GENERATED |
| Object | regional airlines |
—
|
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: primaryAirlineType Context triple: [Devonport Airport, primaryAirlineType, regional airlines]
-
A.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
B.
airlineCategory
Indicates the classification or type of an airline within a defined categorization system (e.g., full-service, low-cost, regional).
-
C.
servesAirlineType
chosen
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
D.
designatedAirlineType
Indicates that an airline has been assigned a specific operational or classification type for a given context or service.
-
E.
primaryHubAirline
Indicates that an airline serves as the main or principal hub carrier for a particular airport or location.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.