Triple
T33204177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple graphics and compute ecosystem |
E849979
|
entity |
| Predicate | exposesProgrammingModel |
P107164
|
FINISHED |
| Object | command buffer based GPU submission |
—
|
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: command buffer based GPU submission | Statement: [Apple graphics and compute ecosystem, exposesProgrammingModel, command buffer based GPU submission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposesProgrammingModel Context triple: [Apple graphics and compute ecosystem, exposesProgrammingModel, command buffer based GPU submission]
-
A.
hasProgrammingModel
chosen
Indicates that one entity defines, specifies, or is associated with the programming model used or supported by another entity.
-
B.
supportsParallelProgrammingModel
Indicates that one entity provides facilities or mechanisms enabling the use of a parallel programming model with another entity.
-
C.
exposesType
Indicates that one entity reveals, makes available, or publicly presents a particular type associated with it.
-
D.
usedProgramModel
Indicates that an entity employed a specific program model as the basis or framework for its activities or operations.
-
E.
executionModel
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.