Triple
T28651892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modularer Querbaukasten |
E725221
|
entity |
| Predicate | supportsPowertrains |
—
|
GENERATED |
| Object | petrol 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: supportsPowertrains Context triple: [Modularer Querbaukasten, supportsPowertrains, petrol engines]
-
A.
offersPowertrain
Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
-
B.
supportsDrivetrainFeature
chosen
Indicates that an entity provides or is compatible with a specified drivetrain-related capability or function.
-
C.
sharesPowertrainWith
Indicates that two entities use the same or a fundamentally identical powertrain system.
-
D.
primaryPowertrain
Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
-
E.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:52 a.m.