Triple
T27946027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PredictionEngine |
E700880
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ML.NET API component |
C8315
|
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: ML.NET API component Context triple: [PredictionEngine, instanceOf, ML.NET API component]
-
A.
machine learning platform component
A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
-
B.
.NET development platform component
chosen
A .NET development platform component is a modular building block—such as a library, runtime, or tooling element—that integrates into the .NET ecosystem to provide specific functionality for building, running, or managing .NET applications.
-
C.
neural network API
A neural network API is an interface that allows developers to build, configure, train, and deploy neural network models programmatically without managing low-level implementation details.
-
D.
neural network component
A neural network component is a modular unit—such as a layer, activation function, or connection pattern—that processes and transforms input data as part of a larger neural architecture to enable learning and inference.
-
E.
machine learning model repository
A machine learning model repository is a centralized system for storing, versioning, organizing, and sharing trained models and their associated metadata throughout their lifecycle.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 7:22 p.m.