Triple
T29938191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 200 Series |
E760424
|
entity |
| Predicate | supportsAntiAliasing |
P84813
|
FINISHED |
| Object | multi-sample anti-aliasing |
—
|
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: multi-sample anti-aliasing | Statement: [GeForce 200 Series, supportsAntiAliasing, multi-sample anti-aliasing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAntiAliasing Context triple: [GeForce 200 Series, supportsAntiAliasing, multi-sample anti-aliasing]
-
A.
supportsRasterization
Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
-
B.
supportsFontSmoothing
Indicates that one entity provides or enables font smoothing capabilities for another entity or context.
-
C.
hasAlphaEnhancement
Indicates that an entity possesses an increased or augmented alpha-related property, characteristic, or capability compared to a baseline.
-
D.
supportsMultisampling
chosen
Indicates that an entity provides or enables multisampling functionality, typically for improved rendering quality.
-
E.
supportsHardwareAcceleration
Indicates that one entity enables or provides hardware-based acceleration capabilities for another entity’s operations or processes.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:21 p.m.