Triple
T9323340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Ampere architecture |
E224322
|
entity |
| Predicate | notableGPU |
P11228
|
FINISHED |
| Object |
NVIDIA RTX A6000
The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
|
E797606
|
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 RTX A6000 | Statement: [NVIDIA Ampere architecture, notableGPU, NVIDIA RTX A6000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVIDIA RTX A6000 Context triple: [NVIDIA Ampere architecture, notableGPU, NVIDIA RTX A6000]
-
A.
NVIDIA A100
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
B.
NVIDIA A40
The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
-
C.
NVIDIA Quadro
NVIDIA Quadro is a line of professional-grade graphics cards designed for demanding visualization, CAD, and content creation workloads in workstations and enterprise environments.
-
D.
NVIDIA A30
The NVIDIA A30 is a data center GPU designed for accelerated computing workloads such as AI inference, training, and high-performance computing, offering a balance of performance and efficiency for enterprise deployments.
-
E.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
- 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 RTX A6000 Triple: [NVIDIA Ampere architecture, notableGPU, NVIDIA RTX A6000]
Generated description
The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NVIDIA RTX A6000 Target entity description: The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
-
A.
NVIDIA A100
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
B.
NVIDIA A40
The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
-
C.
NVIDIA Quadro
NVIDIA Quadro is a line of professional-grade graphics cards designed for demanding visualization, CAD, and content creation workloads in workstations and enterprise environments.
-
D.
NVIDIA A30
The NVIDIA A30 is a data center GPU designed for accelerated computing workloads such as AI inference, training, and high-performance computing, offering a balance of performance and efficiency for enterprise deployments.
-
E.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f466b08190884abdc56501a0d8 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107836c64819099d8f0f73e9b1a4c |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d107f9667c81908267e74f7f79b939 |
completed | April 4, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090d310c8190b2b8757dc3428b45 |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:38 p.m.