Triple
T30422510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPEs |
E773936
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Synergistic Processing Element |
C15479
|
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: Synergistic Processing Element Context triple: [SPEs, instanceOf, Synergistic Processing Element]
-
A.
Intelligence Processing Unit
An Intelligence Processing Unit is a specialized computing component designed to efficiently execute and accelerate artificial intelligence and machine learning workloads through massively parallel, low-precision, and dataflow-oriented architectures.
-
B.
CMOS microprocessor
A CMOS microprocessor is a central processing unit implemented using complementary metal-oxide-semiconductor technology, providing high integration, low power consumption, and reliable digital computation on a single chip.
-
C.
system-on-chip
chosen
A system-on-chip is an integrated circuit that combines a complete electronic system’s core components—such as processor, memory, input/output interfaces, and specialized accelerators—onto a single chip.
-
D.
NS32000 family processor
The NS32000 family processor is a series of 32-bit CISC microprocessors by National Semiconductor, designed with a clean, orthogonal instruction set and advanced features for high-level language support and multitasking.
-
E.
SIMD instruction set extension
A SIMD instruction set extension is a set of processor instructions that enable performing the same operation simultaneously on multiple data elements to accelerate parallelizable computations.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:06 p.m.