Triple
T30178388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 900 Series |
E767126
|
entity |
| Predicate | graphicsArchitectureGeneration |
P76292
|
FINISHED |
| Object | first full Maxwell generation for desktops |
—
|
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: first full Maxwell generation for desktops | Statement: [GeForce 900 Series, graphicsArchitectureGeneration, first full Maxwell generation for desktops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsArchitectureGeneration Context triple: [GeForce 900 Series, graphicsArchitectureGeneration, first full Maxwell generation for desktops]
-
A.
architecturalGeneration
Indicates a relationship where one entity is responsible for creating, designing, or originating the architecture of another entity.
-
B.
architectureGeneration
chosen
Indicates the creation or design of an architectural structure, system, or layout from given inputs or specifications.
-
C.
graphicsArchitecture
Indicates the underlying design or structural framework that defines how a system’s graphics or visual rendering components are organized and operate.
-
D.
renderingArchitecture
Indicates the specific rendering system or framework used to generate visual output for a given entity or environment.
-
E.
neuralEngineGeneration
Indicates the generation or version of a device’s neural processing engine used to perform machine learning or AI-related computations.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f402b9c8190b01ed0fc50b7f5e8 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:25 p.m.