Triple
T31486434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ada Optical Flow Accelerator |
E803288
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | GPU subsystem |
C58091
|
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: GPU subsystem Context triple: [Ada Optical Flow Accelerator, instanceOf, GPU subsystem]
-
A.
GPU architecture
GPU architecture is the conceptual design and organization of a graphics processing unit’s cores, memory hierarchy, and data paths that enable massively parallel computation for graphics and general-purpose workloads.
-
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.
graphics driver architecture
Graphics driver architecture is the structured design and organization of software components that translate high-level rendering commands into low-level instructions for graphics hardware to display images efficiently and correctly.
-
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.
graphics driver software
Graphics driver software is a specialized program that enables an operating system and applications to communicate with and efficiently control a computer’s graphics hardware for rendering images and video.
- F. None of above. chosen
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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 9:35 p.m.