Triple
T4599933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python scientific stack |
E100298
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | scientific computing platform |
C3818
|
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 platform Context triple: [Python scientific stack, instanceOf, scientific computing platform]
-
A.
computational tool
A computational tool is a software or hardware resource designed to perform, automate, or assist with data processing, analysis, or problem-solving tasks.
-
B.
GPU computing framework
A GPU computing framework is a software platform that enables developers to write, manage, and optimize parallel programs that execute on graphics processing units for high-performance computation.
-
C.
computational analysis toolset
chosen
A computational analysis toolset is an integrated collection of software tools, libraries, and frameworks designed to process, analyze, and interpret data through algorithmic and statistical methods.
-
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.
GPU-accelerated array library
A GPU-accelerated array library is a software toolkit that provides high-level, NumPy-like array operations executed on graphics processing units to enable massively parallel, high-performance numerical computing.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:11 p.m.