Triple
T1994905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA DRIVE |
E43335
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive computing platform |
C10854
|
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 computing platform Context triple: [NVIDIA DRIVE, instanceOf, automotive computing platform]
-
A.
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.
-
B.
automotive software company
A company that designs, develops, and maintains software solutions specifically for vehicles and the automotive industry, such as embedded systems, driver assistance, connectivity, and fleet management platforms.
-
C.
Ford vehicle platform
A Ford vehicle platform is a shared engineering and structural foundation used across multiple Ford models to standardize components, reduce costs, and streamline design and production.
-
D.
cloud computing platform
A cloud computing platform is an integrated environment that provides on-demand access to scalable computing resources, storage, and services over the internet, enabling users to deploy, manage, and run applications without managing underlying hardware.
-
E.
General Motors platform
A General Motors platform is a shared underlying vehicle architecture, including structural, mechanical, and sometimes electronic components, used across multiple GM models to streamline design, production, and costs.
- F. None of above. chosen
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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:37 p.m.