Triple
T36228600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V1 Supercharger |
E891176
|
entity |
| Predicate | supportsVehicleModel |
—
|
GENERATED |
| Object | Tesla Model S |
—
|
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: supportsVehicleModel Context triple: [V1 Supercharger, supportsVehicleModel, Tesla Model S]
-
A.
supportsVehicle
Indicates that one entity provides the necessary strength, stability, or structure to bear the weight of a vehicle.
-
B.
supportsDriverModel
Indicates that one entity provides compatibility with, or operational backing for, a specified driver model used to interface with hardware or software components.
-
C.
automotiveClassSupported
Indicates that a particular automotive class or category is supported or compatible within a given context or system.
-
D.
supportedModel
chosen
Indicates that one entity provides compatibility with, or operational backing for, a particular model.
-
E.
supportsChassisType
Indicates that one entity is compatible with and can be used to support or accommodate a specified chassis type.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.