Triple
T31849451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikou Meilan International Airport |
E813025
|
entity |
| Predicate | primaryCityAirportFor |
—
|
GENERATED |
| Object | Haikou |
—
|
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: primaryCityAirportFor Context triple: [Haikou Meilan International Airport, primaryCityAirportFor, Haikou]
-
A.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
-
B.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
-
C.
hasMajorAirport
chosen
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
D.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
E.
otherMajorAirportInRegion
Indicates that the subject airport is a different major airport located within the same geographic region as the object airport.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:51 p.m.