Triple
T18178534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONNX |
E435223
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | machine learning file format |
C39057
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: machine learning file format Context triple: [ONNX, instanceOf, machine learning file format]
-
A.
machine learning model format
chosen
A machine learning model format is a standardized representation that defines how a trained model’s structure, parameters, and metadata are stored, exchanged, and loaded across tools and environments.
-
B.
file format
A file format is a standardized structure and encoding scheme that defines how data is organized, stored, and interpreted within a digital file.
-
C.
machine learning framework
A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
-
D.
machine learning library
A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
-
E.
machine learning paradigm
A machine learning paradigm is a conceptual framework that defines how models learn from data, including the assumptions, learning objectives, and training procedures that guide the development and application of algorithms.
- F. None of above.
Provenance (1 batch)
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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:31 a.m.