Triple
T8822695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Jetson embedded modules |
E209944
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | embedded computing platform series |
C25131
|
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 computing platform series Context triple: [NVIDIA Jetson embedded modules, instanceOf, embedded computing platform series]
-
A.
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.
-
B.
embedded computing company
An embedded computing company designs, develops, and supplies specialized hardware and software systems that integrate computing capabilities into products and devices for specific, often real-time, applications.
-
C.
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.
-
D.
embedded systems company
An embedded systems company designs, develops, and integrates specialized hardware and software solutions that perform dedicated functions within larger electronic products and devices.
-
E.
single-board computer
A single-board computer is a complete computer system built on a single circuit board, integrating processor, memory, input/output interfaces, and other essential components for standalone operation.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:46 p.m.