Triple
T4833471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception architecture |
E107999
|
entity |
| Predicate | paperPublishedAt |
P309
|
FINISHED |
| Object | CVPR 2015 |
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 2015 | Statement: [Inception architecture, paperPublishedAt, CVPR 2015]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CVPR 2015 Context triple: [Inception architecture, paperPublishedAt, CVPR 2015]
-
A.
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.
-
B.
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.
-
C.
European Conference on Computer Vision
The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
-
D.
ICPR
ICPR is an international organization dedicated to protecting and improving the ecological health and water quality of the Rhine River and its basin.
-
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: paperPublishedAt Context triple: [Inception architecture, paperPublishedAt, CVPR 2015]
-
A.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
B.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
C.
finalPublicationDate
Indicates the date on which a work is officially and definitively published in its final form.
-
D.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
-
E.
publishedIn
chosen
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.