Triple
T5167374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyx visualization systems |
E116591
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | graphics supercomputer |
C12874
|
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 supercomputer Context triple: [Onyx visualization systems, instanceOf, graphics supercomputer]
-
A.
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.
-
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.
petascale supercomputer
A petascale supercomputer is a massively parallel high-performance computing system capable of performing at least one quadrillion (10^15) floating-point operations per second, used for large-scale scientific, engineering, and data-intensive simulations.
-
D.
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.
-
E.
high-performance computing system
chosen
A high-performance computing system is an integrated collection of powerful processors, high-speed interconnects, and optimized software designed to perform large-scale, complex computations at very high speeds.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
Created at: March 20, 2026, 1:45 p.m.