Triple
T20399586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express Graphics Architecture |
E500295
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer graphics hardware architecture |
C6593
|
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: computer graphics hardware architecture Context triple: [Express Graphics Architecture, instanceOf, computer graphics hardware architecture]
-
A.
computer graphics algorithm
A computer graphics algorithm is a step-by-step computational procedure designed to generate, manipulate, or render visual images and scenes on digital displays.
-
B.
computer graphics division
The computer graphics division is an organizational unit responsible for researching, developing, and producing visual content and technologies related to computer-generated imagery, animation, and interactive graphics.
-
C.
computer graphics chipset family
A computer graphics chipset family is a group of closely related graphics processing chipsets that share a common architecture, feature set, and design lineage, tailored for rendering and accelerating visual output across different devices or performance tiers.
-
D.
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.
-
E.
GPU architecture
chosen
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.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:29 a.m.