Triple
T3542957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ResNet |
E74928
|
entity |
| Predicate | firstPublishedVenue |
P47750
|
FINISHED |
| Object | CVPR 2016 |
E4443
|
NE FINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CVPR 2016 | Statement: [ResNet, firstPublishedVenue, CVPR 2016]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CVPR 2016 Context triple: [ResNet, firstPublishedVenue, CVPR 2016]
-
A.
IEEE International Conference on Computer Vision
The IEEE International Conference on Computer Vision (ICCV) is a premier biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
-
B.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
chosen
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
C.
ICPR
ICPR is an international organization dedicated to protecting and improving the ecological health and water quality of the Rhine River and its basin.
-
D.
ICLR
ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
-
E.
Very Deep Convolutional Networks for Large-Scale Image Recognition
"Very Deep Convolutional Networks for Large-Scale Image Recognition" is the influential 2014 research paper that introduced the VGG family of deep convolutional neural network architectures, demonstrating that significantly increasing network depth with small convolutional filters leads to substantial improvements in image classification performance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublishedVenue Context triple: [ResNet, firstPublishedVenue, CVPR 2016]
-
A.
placeOfFirstPublication
Indicates the location where a work was first published or made publicly available.
-
B.
firstPublicationIn
chosen
Indicates the initial venue, medium, or context in which a work was first published.
-
C.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
-
D.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
-
E.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdd0cb4819086119b54c2708850 |
completed | March 13, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.