Triple

T4020918
Position Surface form Disambiguated ID Type / Status
Subject IEEE International Conference on Computer Vision E91276 entity
Predicate relatedTo P37 FINISHED
Object 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.
E407004 NE FINISHED

How this triple was built (4 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: European Conference on Computer Vision | Statement: [IEEE International Conference on Computer Vision, relatedTo, European Conference on Computer Vision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Conference on Computer Vision
Context triple: [IEEE International Conference on Computer Vision, relatedTo, European Conference on Computer Vision]
  • 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
    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. IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
    The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
  • 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. IEEE Transactions on Pattern Analysis and Machine Intelligence
    IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: European Conference on Computer Vision
Triple: [IEEE International Conference on Computer Vision, relatedTo, European Conference on Computer Vision]
Generated description
The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: European Conference on Computer Vision
Target entity description: The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
  • 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
    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. IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
    The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
  • 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. IEEE Transactions on Pattern Analysis and Machine Intelligence
    IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
  • F. None of above. chosen

Provenance (5 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefacb4c208190b8dd595a534850b2 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dd51ef48190974bb190d32016bc completed March 14, 2026, noon
NED2 Entity disambiguation (via description) batch_69b54e498320819088fea96b83564c69 completed March 14, 2026, 12:02 p.m.
Created at: March 9, 2026, 3:35 p.m.