Triple
T38310012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CrossFire |
E1033657
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | graphics card technology |
C55701
|
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: graphics card technology Context triple: [CrossFire, instanceOf, graphics card technology]
-
A.
graphics acceleration technology
chosen
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.
-
B.
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.
-
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 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.
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.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:30 p.m.