Triple
T34818672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | เขตดอนเมือง |
E1003705
|
entity |
| Predicate | hasPrimaryAirportTrafficType |
—
|
GENERATED |
| Object | เที่ยวบินภายในประเทศ |
—
|
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: hasPrimaryAirportTrafficType Context triple: [เขตดอนเมือง, hasPrimaryAirportTrafficType, เที่ยวบินภายในประเทศ]
-
A.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
B.
isToweredAirport
Indicates that an airport is equipped with and operates an active air traffic control tower.
-
C.
hasCargoTrafficType
Indicates that an entity is associated with a specific type or category of cargo traffic it handles or supports.
-
D.
servesPassengerTrafficType
chosen
Indicates that a transportation facility or service accommodates a specified type or category of passenger traffic.
-
E.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 4 p.m.