Triple
T591899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LeNet |
E17289
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
ResNet
ResNet is a deep convolutional neural network architecture known for its use of residual connections to enable very deep models and achieve state-of-the-art performance in image recognition tasks.
|
E74928
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a49379d09c8190ac7e00b24e2810b1 |
elicitation | completed |
| NER | batch_69a49bbaf53081908eed240bed09f63b |
ner | completed |
| NED1 | batch_69a51f33e59c8190b3593b8460411fba |
ned_source_triple | completed |
| NED2 | batch_69a52086c2bc81909ba39c2dc0b2ab58 |
ned_description | completed |
| NEDg | batch_69a520147c808190b3f812cd439f3615 |
nedg | completed |
Created at: March 1, 2026, 7:33 p.m.