Triple
T10068617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CUDA Driver API |
E213159
|
entity |
| Predicate | documentedIn |
P309
|
FINISHED |
| Object |
NVIDIA CUDA Programming Guide
The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
|
E839060
|
NE FINISHED |
How this triple was built (4 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: NVIDIA CUDA Programming Guide | Statement: [CUDA Driver API, documentedIn, NVIDIA CUDA Programming Guide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVIDIA CUDA Programming Guide Context triple: [CUDA Driver API, documentedIn, NVIDIA CUDA Programming Guide]
-
A.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
-
B.
CUDA toolkit
CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
-
C.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NVIDIA CUDA Programming Guide Triple: [CUDA Driver API, documentedIn, NVIDIA CUDA Programming Guide]
Generated description
The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NVIDIA CUDA Programming Guide Target entity description: The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
-
A.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
-
B.
CUDA toolkit
CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
-
C.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a96fc888190aec7cd364a0d7fb1 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.