Triple
T7220552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DETR |
E150248
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DETR
DETR (Detection Transformer) is a deep learning model that applies transformer architectures to end-to-end object detection in images, eliminating the need for traditional hand-designed detection components.
|
E652054
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69c687effb44819092b95d07d0368c9f |
elicitation | completed |
| NER | batch_69c6e9b2ef8481908ac6608b1faeb1db |
ner | completed |
| NED1 | batch_69c7d38423bc8190aaf4ee3940813d33 |
ned_source_triple | completed |
| NED2 | batch_69c7d4fc837c81909827352be19f64b4 |
ned_description | completed |
| NEDg | batch_69c7d44e67848190ac52eca99ef18f28 |
nedg | completed |
Created at: March 27, 2026, 2:54 p.m.