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.