Triple
T18016439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faster R-CNN |
E431008
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | object detection architecture |
C31656
|
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: object detection architecture Context triple: [Faster R-CNN, instanceOf, object detection architecture]
-
A.
computer vision algorithm
chosen
A computer vision algorithm is a computational method that processes and interprets visual data from images or videos to automatically extract meaningful information or perform tasks such as detection, recognition, and segmentation.
-
B.
imaging architecture
Imaging architecture is the conceptual and technical framework that defines how imaging components, data flows, and processing pipelines are organized and integrated to capture, transform, analyze, and deliver visual information.
-
C.
image recognition model
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.
-
D.
network architecture
A network architecture is the structured design and organization of hardware, software, protocols, and communication paths that define how data flows and services are delivered within a computer network.
-
E.
computer vision research work
A computer vision research work is a scholarly study that develops, analyzes, or evaluates algorithms and systems enabling machines to interpret and understand visual information from images or videos.
- 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.