Triple
T29676981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Optimus |
E750843
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | laptop graphics technology |
C25140
|
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: laptop graphics technology Context triple: [NVIDIA Optimus, instanceOf, laptop graphics technology]
-
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.
NVIDIA technology
chosen
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 28, 2026, 7:07 p.m.