Triple
T22695508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMS computing grid |
E561162
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | scientific computing grid |
C46709
|
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: scientific computing grid Context triple: [CMS computing grid, instanceOf, scientific computing grid]
-
A.
scientific computing reference
A scientific computing reference is a comprehensive resource that provides definitions, formulas, algorithms, and best practices for performing numerical analysis, data processing, and computational modeling in scientific and engineering contexts.
-
B.
high-performance computing centre
A high-performance computing centre is a specialized facility that provides advanced computational resources, high-speed networking, and expert support to enable large-scale, data-intensive, and complex scientific, engineering, and industrial computations.
-
C.
high-performance computing software
High-performance computing software consists of specialized programs and frameworks designed to efficiently execute large-scale, compute-intensive tasks by exploiting parallelism and advanced hardware architectures such as clusters, supercomputers, and GPUs.
-
D.
high-performance computing system
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.
-
E.
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.
- F. None of above. chosen
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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
Created at: April 17, 2026, 3:14 p.m.