Triple
T29858583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 256 |
E758255
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | consumer graphics card |
C6594
|
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: consumer graphics card Context triple: [GeForce 256, instanceOf, consumer graphics card]
-
A.
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.
-
B.
graphics processing unit
chosen
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.
NVIDIA technology
NVIDIA technology encompasses a range of advanced hardware and software solutions—most notably GPUs, AI platforms, and high-performance computing systems—designed to accelerate graphics, data processing, and machine learning workloads across industries.
-
D.
graphics hardware company
A graphics hardware company is an organization that designs, manufactures, and markets specialized processing units and related components to accelerate rendering, visualization, and computation for computers and electronic devices.
-
E.
graphics acceleration technology
Graphics acceleration technology is specialized hardware and software that offloads and speeds up the processing of visual and graphical computations, enabling smoother rendering and higher performance for images, videos, and 3D applications.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:47 p.m.