Triple
T197634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Learning (book) |
E4032
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object |
deep feedforward networks
Deep feedforward networks are a class of neural network architectures in which information flows in one direction through multiple layers to learn complex input–output mappings without recurrent connections.
|
E25122
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a254bca59881909a15e1496f1508c7 |
elicitation | completed |
| NER | batch_69a25bc96aa081908ef74c9827c9aa48 |
ner | completed |
| NED1 | batch_69a3161ddd388190954fd4b73b32a3b1 |
ned_source_triple | completed |
| NED2 | batch_69a31950bcc88190aa30a020c23a94cf |
ned_description | completed |
| NEDg | batch_69a318fd61d0819082a19da66019b14f |
nedg | completed |
Created at: Feb. 28, 2026, 2:44 a.m.