Triple

T18178535
Position Surface form Disambiguated ID Type / Status
Subject ONNX E435223 entity
Predicate fullName P16 FINISHED
Object Open Neural Network Exchange — NE NERFINISHED

How this triple was built (2 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: Open Neural Network Exchange | Statement: [ONNX, fullName, Open Neural Network Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Open Neural Network Exchange
Context triple: [ONNX, fullName, Open Neural Network Exchange]
  • A. NNEF
    NNEF (Neural Network Exchange Format) is an open standard from the Khronos Group designed to enable portable, efficient interchange of trained neural network models across different hardware and software platforms.
  • B. ONNX chosen
    ONNX (Open Neural Network Exchange) is an open standard format for representing machine learning models that enables interoperability between different deep learning frameworks and tools.
  • C. MXNet
    MXNet is an open-source deep learning framework designed for efficient, scalable training and inference across multiple GPUs and distributed systems.
  • D. Caffe Model Zoo
    Caffe Model Zoo is a public collection of pre-trained deep learning models shared by the Caffe community for tasks like image classification, detection, and segmentation.
  • E. Hexagon NN library
    Hexagon NN library is a neural network software framework optimized for Qualcomm's Hexagon DSP architecture to accelerate on-device AI inference.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5b68f081908aac8210270f1499 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.