Triple
T4403906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | e-Pedal (second generation) |
E93680
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive driver-assistance feature |
C5178
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: automotive driver-assistance feature Context triple: [e-Pedal (second generation), instanceOf, automotive driver-assistance feature]
-
A.
advanced driver-assistance system
chosen
An advanced driver-assistance system is an integrated set of vehicle technologies that monitor the driving environment and vehicle status to assist the driver in controlling the car, enhancing safety, comfort, and efficiency.
-
B.
intelligent transportation system component
An intelligent transportation system component is a hardware or software element that collects, processes, or communicates transportation-related data to optimize traffic flow, enhance safety, and improve overall system efficiency.
-
C.
in-vehicle infotainment platform
An in-vehicle infotainment platform is an integrated hardware and software system that delivers multimedia, navigation, connectivity, and vehicle information services through the car’s user interfaces.
-
D.
autonomous navigation system
An autonomous navigation system is a self-directed control framework that enables vehicles or robots to perceive their environment, plan routes, and move safely to a destination without human intervention.
-
E.
vehicle platform
A vehicle platform is a shared structural and mechanical foundation, including chassis, powertrain, and key components, upon which multiple vehicle models can be built.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
Created at: March 12, 2026, 11:28 p.m.