Triple
T8929294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Cockpit |
E212611
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive human–machine interface |
C4490
|
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 human–machine interface Context triple: [Virtual Cockpit, instanceOf, automotive human–machine interface]
-
A.
in-vehicle infotainment platform
chosen
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.
-
B.
automotive safety system
An automotive safety system is an integrated set of components and technologies designed to prevent accidents or reduce injury and damage when collisions occur.
-
C.
Automotive technology
Automotive technology encompasses the design, development, operation, and maintenance of motor vehicles and their supporting systems, including engines, electronics, safety features, and emerging innovations like electric and autonomous driving.
-
D.
automobile design study
An automobile design study is a conceptual exploration and evaluation of vehicle form, function, and technology to guide the development of future production models.
-
E.
automotive computing platform
An automotive computing platform is an integrated hardware and software system within a vehicle that manages and coordinates functions such as infotainment, driver assistance, connectivity, and vehicle control in a secure and real-time manner.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 6:57 p.m.