Triple
T25436581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSE4.1 |
E637388
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Intel SSE extension |
C8846
|
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: Intel SSE extension Context triple: [SSE4.1, instanceOf, Intel SSE extension]
-
A.
SIMD instruction set extension
chosen
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.
instruction set architecture extension
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.
-
C.
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.
-
D.
CPU performance technology
CPU performance technology encompasses the architectures, techniques, and optimizations used to increase a processor’s speed, efficiency, and ability to handle complex computational workloads.
-
E.
Intel technology
Intel technology encompasses the hardware architectures, processors, chipsets, and related innovations developed by Intel to power computing devices and optimize performance, efficiency, and connectivity.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 1:59 p.m.