Triple
T15267314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cray XK7 |
E364932
|
entity |
| Predicate | supportsAcceleratorModel |
P38601
|
FINISHED |
| Object |
NVIDIA Tesla K20X
The NVIDIA Tesla K20X is a high-performance GPU accelerator based on the Kepler architecture, designed primarily for scientific computing and large-scale high-performance computing (HPC) workloads.
|
E1148876
|
NE FINISHED |
How this triple was built (5 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 Tesla K20X | Statement: [Cray XK7, supportsAcceleratorModel, NVIDIA Tesla K20X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVIDIA Tesla K20X Context triple: [Cray XK7, supportsAcceleratorModel, NVIDIA Tesla K20X]
-
A.
Nvidia Maxwell GPU
The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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 Tesla K20X Triple: [Cray XK7, supportsAcceleratorModel, NVIDIA Tesla K20X]
Generated description
The NVIDIA Tesla K20X is a high-performance GPU accelerator based on the Kepler architecture, designed primarily for scientific computing and large-scale high-performance computing (HPC) workloads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NVIDIA Tesla K20X Target entity description: The NVIDIA Tesla K20X is a high-performance GPU accelerator based on the Kepler architecture, designed primarily for scientific computing and large-scale high-performance computing (HPC) workloads.
-
A.
Nvidia Maxwell GPU
The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAcceleratorModel Context triple: [Cray XK7, supportsAcceleratorModel, NVIDIA Tesla K20X]
-
A.
usedAccelerator
Indicates that an entity has applied or made use of an accelerator (such as a device, mechanism, or process) to increase speed, performance, or progress in relation to another entity or activity.
-
B.
hasAccelerator
Indicates that one entity possesses or is equipped with an accelerator device or mechanism used to increase speed or energy.
-
C.
supportsModelFamily
Indicates that one entity provides compatibility, functionality, or resources necessary for the operation or use of a particular model family.
-
D.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
E.
supportsModelVariant
chosen
Indicates that one entity is capable of operating with, being compatible with, or otherwise accommodating a specific variant of a model.
- F. None of above.
Provenance (6 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef38868548190877cf25a38bb805a |
completed | May 9, 2026, 8:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef435b1208190bd839297a2f8d3f4 |
completed | May 9, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.