Triple
T3542985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ResNet |
E74928
|
entity |
| Predicate | benchmarkedOn |
P23745
|
FINISHED |
| Object |
CIFAR-100
CIFAR-100 is a widely used image classification dataset consisting of 60,000 32×32 color images across 100 object categories, commonly used to benchmark machine learning models.
|
E367299
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ad85d274cc8190ab59c97298a1cfbf |
elicitation | completed |
| NER | batch_69adbf752dd481909226044ffe595338 |
ner | completed |
| NED1 | batch_69b38bdd0cb4819086119b54c2708850 |
ned_source_triple | completed |
| NED2 | batch_69b39062a10c8190bc227c02cf4f3ab1 |
ned_description | completed |
| NEDg | batch_69b38cb6a2188190b68f4903144a0e51 |
nedg | completed |
Created at: March 8, 2026, 3:20 p.m.