Triple

T18016065
Position Surface form Disambiguated ID Type / Status
Subject COCO E431000 entity
Predicate relatedTo P37 FINISHED
Object PASCAL VOC — 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: PASCAL VOC | Statement: [COCO, relatedTo, PASCAL VOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PASCAL VOC
Context triple: [COCO, relatedTo, PASCAL VOC]
  • A. ImageNet
    ImageNet is a large-scale visual database widely used for training and benchmarking image classification and computer vision algorithms.
  • B. SVRC
    SVRC is the abbreviation for the Singapore Volunteer Rifle Corps, a 19th-century volunteer military unit formed to bolster the defense of colonial Singapore.
  • C. LSRC
    LSRC is a major interdisciplinary science and engineering research facility at Duke University that houses laboratories, classrooms, and collaborative spaces for multiple scientific disciplines.
  • D. CIFAR
    CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
  • E. CIFAR-10
    CIFAR-10 is a widely used computer vision dataset of 60,000 labeled low-resolution images across 10 object classes, commonly employed to benchmark image classification algorithms.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PASCAL VOC
Target entity description: PASCAL VOC is a benchmark dataset and challenge in computer vision, widely used for evaluating algorithms on tasks like object detection and image segmentation.
  • A. ImageNet
    ImageNet is a large-scale visual database widely used for training and benchmarking image classification and computer vision algorithms.
  • B. SVRC
    SVRC is the abbreviation for the Singapore Volunteer Rifle Corps, a 19th-century volunteer military unit formed to bolster the defense of colonial Singapore.
  • C. LSRC
    LSRC is a major interdisciplinary science and engineering research facility at Duke University that houses laboratories, classrooms, and collaborative spaces for multiple scientific disciplines.
  • D. CIFAR
    CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
  • E. CIFAR-10
    CIFAR-10 is a widely used computer vision dataset of 60,000 labeled low-resolution images across 10 object classes, commonly employed to benchmark image classification algorithms.
  • F. None of above. chosen

Provenance (2 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.
Created at: April 10, 2026, 10:24 a.m.