Triple
T29682572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullis |
E750994
|
entity |
| Predicate | associatedWithDrivetrain |
—
|
GENERATED |
| Object | rear-mounted engine, rear-wheel drive layout |
—
|
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: associatedWithDrivetrain Context triple: [Bullis, associatedWithDrivetrain, rear-mounted engine, rear-wheel drive layout]
-
A.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
B.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
-
C.
drivetrainCategory
chosen
Indicates the type or classification of a vehicle’s drivetrain system (e.g., FWD, RWD, AWD) associated with an entity.
-
D.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
E.
drivetrainConfigurationProduced
Indicates that a particular drivetrain configuration has been produced or manufactured.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 28, 2026, 7:11 p.m.