Triple

T18016339
Position Surface form Disambiguated ID Type / Status
Subject MobileNetV2 E431005 entity
Predicate paperVenue P53492 FINISHED
Object CVPR 2018 NE NERFINISHED

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 2018 | Statement: [MobileNetV2, paperVenue, CVPR 2018]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVPR 2018
Context triple: [MobileNetV2, paperVenue, CVPR 2018]
  • 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. 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. ICLR
    ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
  • 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: paperVenue
Context triple: [MobileNetV2, paperVenue, CVPR 2018]
  • A. publishingVenue chosen
    Indicates the venue (such as a journal, conference, or publisher) where a work is formally published.
  • B. proceedingsPublishedBy
    Indicates that a set of proceedings (such as from a conference or event) is published by a particular publisher or publishing entity.
  • C. publishesProceedingsFor
    Indicates that an entity (such as a publisher or organization) produces and makes publicly available the official proceedings for a particular event, conference, or meeting.
  • D. publishedIn
    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.
  • E. publicationTypeOfPresenter
    Indicates the type or category of publication associated with a given presenter.
  • F. None of above.

Provenance (3 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
PD Predicate disambiguation batch_69e3f904b8048190add43883cd7cb191 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:24 a.m.