Triple
T31873478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4060 Ti |
E813672
|
entity |
| Predicate | rayTracingCoresGeneration |
P172610
|
FINISHED |
| Object | 3rd generation |
—
|
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: 3rd generation | Statement: [NVIDIA GeForce RTX 4060 Ti, rayTracingCoresGeneration, 3rd generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayTracingCoresGeneration Context triple: [NVIDIA GeForce RTX 4060 Ti, rayTracingCoresGeneration, 3rd generation]
-
A.
supportsHardwareRayTracing
Indicates that one entity provides or enables hardware-level ray tracing capabilities for another entity or within a given context.
-
B.
gpuCoreCount
Indicates the number of processing cores present in a GPU.
-
C.
tensorCoresGeneration
Indicates the specific hardware generation or version of tensor cores associated with an entity.
-
D.
rtCoresGeneration
chosen
Indicates the specific hardware generation of ray tracing (RT) cores associated with a given graphics or compute component.
-
E.
renderingTechnology
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0a0d34481908fa2ca9b7091b3c2 |
completed | May 3, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:55 p.m.