Triple
T34060848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Land Cruiser J300 platform |
E873488
|
entity |
| Predicate | supportsPowertrainFeature |
—
|
GENERATED |
| Object | twin-turbocharged engines |
—
|
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: supportsPowertrainFeature Context triple: [Toyota Land Cruiser J300 platform, supportsPowertrainFeature, twin-turbocharged engines]
-
A.
supportsDrivetrainFeature
Indicates that an entity provides or is compatible with a specified drivetrain-related capability or function.
-
B.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
C.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
D.
offersPowertrain
chosen
Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
-
E.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:52 a.m.