Triple
T10068666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cuSPARSE |
E213160
|
entity |
| Predicate | supportsExecution |
P11061
|
FINISHED |
| Object | asynchronous GPU execution (via CUDA streams) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: asynchronous GPU execution (via CUDA streams) | Statement: [cuSPARSE, supportsExecution, asynchronous GPU execution (via CUDA streams)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsExecution Context triple: [cuSPARSE, supportsExecution, asynchronous GPU execution (via CUDA streams)]
-
A.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
-
B.
supportsCommand
chosen
Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
-
C.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
D.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
E.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
- F. None of above.
Provenance (3 batches)
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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:58 p.m.