Triple
T30065775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CUDA Runtime API |
E764026
|
entity |
| Predicate | errorTypePrefix |
P169349
|
FINISHED |
| Object | cudaError_t |
—
|
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: cudaError_t | Statement: [CUDA Runtime API, errorTypePrefix, cudaError_t]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorTypePrefix Context triple: [CUDA Runtime API, errorTypePrefix, cudaError_t]
-
A.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
B.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
C.
errorTerm
Indicates the specific discrepancy or residual value that quantifies the difference between an observed outcome and its predicted or true value in a model or calculation.
-
D.
errorDescription
Indicates a textual explanation that describes the nature or details of an error that has occurred.
-
E.
errorReporting
Indicates that one entity reports, logs, or communicates errors or faults related to another entity or process.
- F. None of above. chosen
Provenance (4 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 6:59 p.m.