Triple
T33406195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai E-GMP |
E855443
|
entity |
| Predicate | supportsVehicleToLoad |
—
|
GENERATED |
| Object | true |
—
|
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: supportsVehicleToLoad Context triple: [Hyundai E-GMP, supportsVehicleToLoad, true]
-
A.
vehicleToLoad
Indicates a relationship where a vehicle is associated with, assigned to, or responsible for transporting a particular load.
-
B.
supportsVehicle
Indicates that one entity provides the necessary strength, stability, or structure to bear the weight of a vehicle.
-
C.
supportsCargoType
chosen
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
-
D.
vehicleLoadingMethod
Indicates the method or process by which a vehicle is loaded with goods, passengers, or other cargo.
-
E.
cargoVehicle
Indicates a relationship where a vehicle is used or designated for transporting cargo or goods.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.