Triple
T29867989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PGI compilers |
E758505
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | parallel programming tool |
C11639
|
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: parallel programming tool Context triple: [PGI compilers, instanceOf, parallel programming tool]
-
A.
parallel programming library
A parallel programming library is a collection of tools, abstractions, and APIs that enable developers to write programs that execute multiple computations concurrently across multiple cores, processors, or machines to improve performance and scalability.
-
B.
parallel computing standard
A parallel computing standard is a formally defined specification that enables coordinated execution and communication among multiple processing elements to efficiently perform computations concurrently across diverse hardware platforms.
-
C.
parallel computing technique
A parallel computing technique is a method for dividing a computational task into smaller subtasks that can be executed simultaneously across multiple processors or cores to improve performance and efficiency.
-
D.
data-parallel execution engine
A data-parallel execution engine is a system that coordinates the simultaneous processing of independent data partitions across multiple compute resources to accelerate large-scale computations.
-
E.
collection of programming tools
chosen
A collection of programming tools is an organized set of software utilities, libraries, and environments designed to assist developers in writing, testing, debugging, and maintaining code efficiently.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:52 p.m.