Triple
T28901635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHA256SU0 |
E732965
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | SHA-256 acceleration instruction |
C8848
|
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: SHA-256 acceleration instruction Context triple: [SHA256SU0, instanceOf, SHA-256 acceleration instruction]
-
A.
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.
-
B.
hardware accelerator
A hardware accelerator is a specialized computing device or component designed to perform specific tasks or algorithms more efficiently and faster than a general-purpose processor.
-
C.
instruction set architecture extension
chosen
An instruction set architecture extension is an addition of new machine-level instructions or capabilities to an existing ISA to enhance performance, functionality, or support for specialized workloads while maintaining compatibility with the base architecture.
-
D.
hardware accelerator integration
Hardware accelerator integration is the process of connecting and coordinating specialized processing units (such as GPUs, TPUs, or FPGAs) with a computing system’s hardware and software stack to offload and speed up specific computational tasks.
-
E.
vector processing extension
A vector processing extension is a hardware or software enhancement to a processor’s instruction set that enables efficient parallel operations on multiple data elements within single instructions, improving performance for data-intensive workloads.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 8:03 a.m.