Triple
T31952251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4060 |
E815809
|
entity |
| Predicate | supportsCUDAComputeCapability |
P188520
|
FINISHED |
| Object | 8.x |
—
|
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: 8.x | Statement: [NVIDIA GeForce RTX 4060, supportsCUDAComputeCapability, 8.x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCUDAComputeCapability Context triple: [NVIDIA GeForce RTX 4060, supportsCUDAComputeCapability, 8.x]
-
A.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
B.
hasGPUDetails
chosen
Indicates that an entity is associated with specific details or specifications about a GPU (graphics processing unit).
-
C.
gpuType
Indicates the specific kind or model category of GPU associated with an entity.
-
D.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
E.
supportsNeuralNetworkAcceleration
Indicates that one entity provides hardware or software capabilities that enhance the speed or efficiency of neural network computations for another entity.
- F. None of above.
Provenance (3 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:07 a.m.