Triple
T32628273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Auto |
E834123
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | embedded automotive software platform |
C12526
|
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: embedded automotive software platform Context triple: [Microsoft Auto, instanceOf, embedded automotive software platform]
-
A.
embedded software platform
chosen
An embedded software platform is an integrated collection of software components, tools, and runtime services that provide a standardized environment for developing, deploying, and managing applications on resource-constrained embedded devices.
-
B.
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.
-
C.
automotive platform
An automotive platform is a shared, standardized set of structural, mechanical, and electronic components that underpins multiple vehicle models to streamline development, reduce costs, and enable design flexibility.
-
D.
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.
-
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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:07 a.m.