Triple
T9027015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velocity Engine |
E216072
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | vector processing unit |
C8436
|
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: vector processing unit Context triple: [Velocity Engine, instanceOf, vector processing unit]
-
A.
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.
-
B.
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.
-
C.
graphics processing unit
A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly perform parallel mathematical and geometric calculations to render images, videos, and visual effects for display.
-
D.
hardware accelerator
chosen
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.
-
E.
RISC architecture
A RISC architecture is a computer processor design that uses a small, highly optimized set of simple instructions to achieve high performance through efficient pipelining and parallelism.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 7:07 p.m.