Triple
T29858618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 256 |
E758255
|
entity |
| Predicate | supportsAGPFeature |
P207182
|
FINISHED |
| Object | AGP texturing |
—
|
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: AGP texturing | Statement: [GeForce 256, supportsAGPFeature, AGP texturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAGPFeature Context triple: [GeForce 256, supportsAGPFeature, AGP texturing]
-
A.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
B.
supports2DGraphicsAcceleration
Indicates that an entity provides hardware or software capabilities to accelerate the processing and rendering of two-dimensional graphics operations.
-
C.
supportsAES-NI
Indicates that an entity (typically hardware or software) provides support for the AES-NI (Advanced Encryption Standard New Instructions) set of CPU instructions used to accelerate AES encryption and decryption operations.
-
D.
supportsIntelVT-x
Indicates that one entity provides compatibility with or the capability to use Intel VT-x virtualization technology for another entity.
-
E.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 5:47 p.m.