Triple
T31665881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4080 |
E808123
|
entity |
| Predicate | tensorCoresGeneration |
P172611
|
FINISHED |
| Object | 4th 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: 4th generation | Statement: [NVIDIA GeForce RTX 4080, tensorCoresGeneration, 4th generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tensorCoresGeneration Context triple: [NVIDIA GeForce RTX 4080, tensorCoresGeneration, 4th generation]
-
A.
tensorCores
Indicates that the relationship or operation involves the use of specialized tensor processing cores (e.g., hardware units optimized for tensor or matrix computations).
-
B.
neuralEngineCores
Indicates the number or configuration of neural engine processing cores associated with a given hardware or system.
-
C.
microarchitectureGeneration
Indicates the specific microarchitecture design generation or family to which a processor or hardware component belongs.
-
D.
neuralEngineType
Indicates the specific kind or category of neural processing engine associated with or used by an entity.
-
E.
gpuType
Indicates the specific kind or model category of GPU associated with an 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:59 p.m.