Triple

T9675001
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Triton Inference Server E234124 entity
Predicate supportsFramework P9089 FINISHED
Object ONNX Runtime
ONNX Runtime is a high-performance, cross-platform inference engine for running machine learning models in the Open Neural Network Exchange (ONNX) format across a variety of hardware and deployment environments.
E814638 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: ONNX Runtime | Statement: [NVIDIA Triton Inference Server, supportsFramework, ONNX Runtime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONNX Runtime
Context triple: [NVIDIA Triton Inference Server, supportsFramework, ONNX Runtime]
  • A. ONNX
    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.
  • B. NVIDIA TensorRT
    NVIDIA TensorRT is a high-performance deep learning inference optimizer and runtime library designed to accelerate AI models on NVIDIA GPUs in production environments.
  • C. NVIDIA Triton Inference Server
    NVIDIA Triton Inference Server is an open-source, production-ready platform for serving and scaling AI model inference across GPUs and CPUs with support for multiple frameworks and deployment environments.
  • D. OpenVINO
    OpenVINO is an open-source toolkit from Intel for optimizing and deploying deep learning inference across a range of hardware platforms, especially Intel CPUs, integrated GPUs, VPUs, and FPGAs.
  • E. PlaidML
    PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.
  • 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: ONNX Runtime
Triple: [NVIDIA Triton Inference Server, supportsFramework, ONNX Runtime]
Generated description
ONNX Runtime is a high-performance, cross-platform inference engine for running machine learning models in the Open Neural Network Exchange (ONNX) format across a variety of hardware and deployment environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ONNX Runtime
Target entity description: ONNX Runtime is a high-performance, cross-platform inference engine for running machine learning models in the Open Neural Network Exchange (ONNX) format across a variety of hardware and deployment environments.
  • A. ONNX
    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.
  • B. NVIDIA TensorRT
    NVIDIA TensorRT is a high-performance deep learning inference optimizer and runtime library designed to accelerate AI models on NVIDIA GPUs in production environments.
  • C. NVIDIA Triton Inference Server
    NVIDIA Triton Inference Server is an open-source, production-ready platform for serving and scaling AI model inference across GPUs and CPUs with support for multiple frameworks and deployment environments.
  • D. OpenVINO
    OpenVINO is an open-source toolkit from Intel for optimizing and deploying deep learning inference across a range of hardware platforms, especially Intel CPUs, integrated GPUs, VPUs, and FPGAs.
  • E. PlaidML
    PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6d6dd48190a77c486337a58cb6 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f9bf78819093542adae997a668 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d1925ea9388190a25db357959fc807 completed April 4, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69d192c001708190b3b9a28af99ea452 completed April 4, 2026, 10:37 p.m.
Created at: March 30, 2026, 8:15 p.m.