Triple
T32257447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo autonomous driving platform |
E824061
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | software and hardware ecosystem |
C25483
|
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 ecosystem Context triple: [Apollo autonomous driving platform, instanceOf, software and hardware ecosystem]
-
A.
software and services ecosystem
A software and services ecosystem is an interconnected network of applications, platforms, tools, and providers that collaboratively deliver integrated digital capabilities and value to users and organizations.
-
B.
software ecosystem
A software ecosystem is a dynamic network of interdependent software products, platforms, tools, developers, and users that co-evolve, interact, and create value through shared standards, integrations, and marketplaces.
-
C.
computing platform ecosystem
chosen
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.
-
D.
product ecosystem
A product ecosystem is an interconnected set of products, services, and platforms designed to work together seamlessly, creating added value and a cohesive experience for users.
-
E.
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.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.