Triple
T31632336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4090 |
E807201
|
entity |
| Predicate | openclSupport |
P172036
|
FINISHED |
| Object | OpenCL 3.0 |
—
|
NE NERFINISHED |
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: OpenCL 3.0 | Statement: [NVIDIA GeForce RTX 4090, openclSupport, OpenCL 3.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openclSupport Context triple: [NVIDIA GeForce RTX 4090, openclSupport, OpenCL 3.0]
-
A.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
B.
supportsShadingLanguage
Indicates that one entity provides compatibility with, or can correctly interpret and execute, a specified shading language used for programmable graphics rendering.
-
C.
supports2DGraphicsAcceleration
Indicates that an entity provides hardware or software capabilities to accelerate the processing and rendering of two-dimensional graphics operations.
-
D.
supportsNEON
Indicates that one entity provides or enables NEON (ARM Advanced SIMD) instruction set support for another entity.
-
E.
supports3DAcceleration
Indicates that one entity provides or enables hardware- or software-based 3D graphics acceleration for another entity.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:45 p.m.