Triple
T36259517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA inference platform |
E892043
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | software and hardware platform |
C36805
|
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: software and hardware platform Context triple: [NVIDIA inference platform, instanceOf, software and hardware platform]
-
A.
computing platform
chosen
A computing platform is an integrated environment of hardware, operating systems, runtime libraries, and tools that together support the execution and development of software applications.
-
B.
embedded software platform
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.
-
C.
integrated software platform
An integrated software platform is a unified system that combines multiple applications and tools into a single environment to streamline workflows, data sharing, and user experience.
-
D.
computing platform ecosystem
A computing platform ecosystem is an interconnected environment of hardware, software, services, and stakeholders that collectively enable the development, distribution, and use of applications on a shared technological foundation.
-
E.
hardware and software bundle
A hardware and software bundle is a packaged offering that combines physical computing devices with pre-installed or accompanying software designed to work together as an integrated solution.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.