Triple

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).

Phrase: COCO dataset | Statement: [Mask R-CNN, commonlyTrainedOn, COCO dataset]

Target entity: COCO dataset
Context triple: [Mask R-CNN, commonlyTrainedOn, COCO dataset]

• A. 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.
• B. COCO object detection benchmarks chosen
  COCO object detection benchmarks are widely used large-scale evaluation standards for measuring and comparing the performance of object detection algorithms on the COCO dataset.
• C. LSUN dataset
  The LSUN dataset is a large-scale image collection focused on scenes and objects, widely used to train and evaluate deep learning models for image generation and recognition.
• D. 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.
• E. 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.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Target predicate: commonlyTrainedOn
Context triple: [Mask R-CNN, commonlyTrainedOn, COCO dataset]

• A. commonlyTrainedWith
  Indicates that two entities are typically trained, practiced, or learned together as part of the same routine, curriculum, or skill set.
• B. trainingDataType
  Indicates the type or category of data used for training a model, system, or process.
• C. equipmentTypeTrainedOn
  Indicates the type of equipment on which an entity has received training or is qualified to operate.
• D. trainingDataIncludes chosen
  Indicates that one entity’s training dataset contains or incorporates the other entity as part of its data.
• E. typicalTraining
  Indicates that an entity commonly undergoes or is associated with a standard or usual form of training in relation to another entity or context.
• F. None of above.