Triple
T18016441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faster R-CNN |
E431008
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | convolutional neural network model |
C4178
|
CONCEPT FINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: convolutional neural network model Context triple: [Faster R-CNN, instanceOf, convolutional neural network model]
-
A.
deep learning model
A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
-
B.
image recognition model
chosen
An image recognition model is a computational system that analyzes visual input to automatically identify, classify, and sometimes localize objects, patterns, or features within images.
-
C.
deep learning framework
A deep learning framework is a software library or platform that provides tools, abstractions, and optimized components to design, train, and deploy neural network models efficiently.
-
D.
deep learning library
A deep learning library is a software framework that provides tools, abstractions, and optimized routines to design, train, and deploy neural network models.
-
E.
neural network design method
A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
- F. None of above.
Provenance (1 batch)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8b904530081908bf341d842464856 |
elicitation | completed |
Created at: April 10, 2026, 10:24 a.m.