Triple
T33696090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MDE |
E863315
|
entity |
| Predicate | associatedAirportPrimaryRunwayLength |
—
|
GENERATED |
| Object | approximately 3500 metres |
—
|
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: associatedAirportPrimaryRunwayLength Context triple: [MDE, associatedAirportPrimaryRunwayLength, approximately 3500 metres]
-
A.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
B.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
C.
hasLongestRunwayIn
Indicates that an entity possesses the runway of greatest length within a specified location or region.
-
D.
hasSinglePrimaryRunway
Indicates that an airport or airfield possesses exactly one main runway used as its primary operational runway.
-
E.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.