Triple
T30315667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac Pro (2017) |
E771048
|
entity |
| Predicate | gpuOptions |
P11228
|
FINISHED |
| Object | Radeon Pro Vega 56 |
—
|
NE NERFINISHED |
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: Radeon Pro Vega 56 | Statement: [iMac Pro (2017), gpuOptions, Radeon Pro Vega 56]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gpuOptions Context triple: [iMac Pro (2017), gpuOptions, Radeon Pro Vega 56]
-
A.
gpuType
chosen
Indicates the specific kind or model category of GPU associated with an entity.
-
B.
usesNumberOfGPUs
Indicates that an entity operates with, depends on, or is configured to utilize a specified number of GPUs.
-
C.
gpuComputePerformance
Indicates the level of processing capability a GPU can deliver for computational tasks, typically measured in operations per unit time.
-
D.
integratesGPU
Indicates that one entity incorporates or embeds a GPU as a functional component within its design or system.
-
E.
acceleratorType
Indicates the kind or category of accelerator associated with or used by an entity.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68193b2b08190a00f08dbba490563 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:51 p.m.