Triple
T30178390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 20 Series |
E767127
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | NVIDIA GeForce product line |
C7297
|
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: NVIDIA GeForce product line Context triple: [GeForce 20 Series, instanceOf, NVIDIA GeForce product line]
-
A.
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.
-
B.
NVIDIA software product
An NVIDIA software product is a program or suite of tools developed by NVIDIA to enable, optimize, or manage graphics, AI, and high-performance computing workloads on NVIDIA hardware platforms.
-
C.
computer product line
A computer product line is a family of related computer models or configurations that share a common design and components but vary in features, performance, and price to target different customer needs and market segments.
-
D.
gaming hardware product line
A gaming hardware product line is a coordinated range of devices and accessories—such as consoles, controllers, headsets, and peripherals—designed and marketed together to deliver a cohesive gaming experience under a unified brand.
-
E.
graphics processing unit family
chosen
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.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:25 p.m.