Triple
T8414121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artesyn Embedded Technologies |
E198691
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | embedded systems company |
C24305
|
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 company Context triple: [Artesyn Embedded Technologies, instanceOf, embedded systems company]
-
A.
embedded operating system
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.
-
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.
Internet of Things company
An Internet of Things company designs, develops, and manages connected devices and platforms that collect, exchange, and analyze data over networks to deliver automated, intelligent services.
-
D.
electronic design automation company
An electronic design automation company develops and provides software tools and services that enable engineers to design, simulate, verify, and optimize electronic systems and integrated circuits.
-
E.
automotive software company
A company that designs, develops, and maintains software solutions specifically for vehicles and the automotive industry, such as embedded systems, driver assistance, connectivity, and fleet management platforms.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:06 p.m.