Triple
T28583033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shell (FinSH) |
E723426
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | embedded systems tool |
C8211
|
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 systems tool Context triple: [shell (FinSH), instanceOf, embedded systems tool]
-
A.
embedded system
An embedded system is a specialized computing system that is dedicated to performing specific functions within a larger mechanical or electrical system, often with real-time computing constraints and limited resources.
-
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.
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.
-
D.
embedded operating system
chosen
An embedded operating system is a specialized, lightweight OS designed to manage hardware and run dedicated applications within resource-constrained, often real-time embedded devices.
-
E.
embedded computing platform series
A series of embedded computing platforms is a family of related hardware and software modules designed to provide scalable, application-specific processing, connectivity, and I/O capabilities for integration into dedicated electronic systems.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:16 a.m.