Triple
T16061451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Nanyuan Airport |
E389622
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | military-civilian airport |
C9515
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: military-civilian airport Context triple: [Beijing Nanyuan Airport, instanceOf, military-civilian airport]
-
A.
civil–military airport
chosen
A civil–military airport is an aerodrome jointly used by civilian air transport services and military aviation operations, sharing infrastructure, airspace, and support facilities under coordinated management.
-
B.
domestic airport
A domestic airport is an aviation facility that handles flights operating solely within a single country's borders, providing passenger, baggage, and aircraft services for internal air travel.
-
C.
airfield
An airfield is a designated area of land equipped with runways, taxiways, and minimal support facilities for the takeoff, landing, and ground movement of aircraft.
-
D.
privately owned airport
A privately owned airport is an airfield or aviation facility owned and operated by a non-governmental individual or entity, typically used for general aviation, corporate, or restricted-access flights rather than regular public commercial service.
-
E.
international airport
An international airport is a large, complex transportation hub that facilitates the arrival, departure, and transfer of passengers and cargo between countries through scheduled and chartered flights, customs, immigration, and related services.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:57 a.m.