Triple
T921632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Szegedy |
E19896
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Inception architecture
The Inception architecture is a deep convolutional neural network design that introduced parallel multi-scale processing modules to achieve state-of-the-art image recognition performance with improved computational efficiency.
|
E107999
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a493a099788190a696d9d8408cbaf4 |
elicitation | completed |
| NER | batch_69a4b313cb908190ad78b3a54e4f2eb7 |
ner | completed |
| NED1 | batch_69a7cf6486d88190b53cd743b08eef33 |
ned_source_triple | completed |
| NED2 | batch_69a7d0aac93481908ffc2141d668e9d2 |
ned_description | completed |
| NEDg | batch_69a7d02d9d308190a9e950ae034b2ec5 |
nedg | completed |
Created at: March 1, 2026, 7:40 p.m.