Triple
T36240932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Thanh International Airport |
E891514
|
entity |
| Predicate | numberOfRunwaysPlanned |
—
|
GENERATED |
| Object | 4 |
—
|
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: numberOfRunwaysPlanned Context triple: [Long Thanh International Airport, numberOfRunwaysPlanned, 4]
-
A.
numberOfRunways
chosen
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
B.
hasRunwayPlan
Indicates that an entity possesses or is associated with a planned configuration or strategy for a runway.
-
C.
runwayPlan
Indicates a planned or designated use of a runway for aircraft operations (such as takeoff, landing, or sequencing) within an airfield’s operational schedule.
-
D.
hasRunwaysAt
Indicates that a location or facility possesses one or more runways situated at that place.
-
E.
hasParallelRunway
Indicates that one runway is parallel in orientation and alignment to another runway.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.