Triple
T1775199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Neural Engine |
E38961
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neural processing unit |
C4925
|
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: neural processing unit Context triple: [Apple Neural Engine, instanceOf, neural processing unit]
-
A.
neuromorphic computing initiative
A neuromorphic computing initiative is a coordinated effort to research, develop, and deploy hardware and software systems that emulate the structure and function of biological neural networks to achieve more efficient, brain-like computation.
-
B.
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.
-
C.
microprocessor
chosen
A microprocessor is a compact, integrated circuit that performs the arithmetic, logic, control, and input/output operations of a computer’s central processing unit (CPU) on a single chip.
-
D.
graphics processing unit family
A graphics processing unit family is a group of closely related GPU models that share a common architecture, feature set, and design lineage, typically released by a manufacturer as a coherent product line.
-
E.
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.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:31 p.m.