Triple
T31278926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA RTX A6000 |
E797606
|
entity |
| Predicate | rayTracingCores |
P41280
|
FINISHED |
| Object | 2nd 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: 2nd generation | Statement: [NVIDIA RTX A6000, rayTracingCores, 2nd generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayTracingCores Context triple: [NVIDIA RTX A6000, rayTracingCores, 2nd generation]
-
A.
supportsHardwareRayTracing
chosen
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.
neuralEngineCores
Indicates the number or configuration of neural engine processing cores associated with a given hardware or system.
-
D.
numberOfRays
Indicates the count of rays associated with or emitted by a given entity.
-
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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:13 p.m.