Triple
T15361452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIFAR-10 |
E367298
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image classification dataset |
C13913
|
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: image classification dataset Context triple: [CIFAR-10, instanceOf, image classification dataset]
-
A.
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.
-
B.
classification board
A classification board is an authoritative body or panel that evaluates and assigns categories, ratings, or classifications to items such as media, products, or information based on defined criteria and standards.
-
C.
points classification
Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
-
D.
benchmark dataset
chosen
A benchmark dataset is a standardized collection of data designed to objectively evaluate, compare, and validate the performance of algorithms, models, or systems on specific tasks.
-
E.
handwritten digit dataset
A handwritten digit dataset is a curated collection of images of numerals written by humans, typically labeled with their corresponding digit classes for use in training and evaluating pattern recognition and machine learning models.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.