Triple

T4425089
Position Surface form Disambiguated ID Type / Status
Subject MATLAB E95188 entity
Predicate hasComponent P35 FINISHED
Object Parallel Computing Toolbox
Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
 E437248 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: Parallel Computing Toolbox | Statement: [MATLAB, hasComponent, Parallel Computing Toolbox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parallel Computing Toolbox
Context triple: [MATLAB, hasComponent, Parallel Computing Toolbox]
  • A. MATLAB
    MATLAB is a high-level programming language and interactive environment widely used for numerical computing, data analysis, algorithm development, and visualization, particularly in engineering and scientific research.
  • B. Intel Threading Building Blocks
    Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
  • C. High Performance Computing Collaboratory
    The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
  • D. GNU Octave
    GNU Octave is a high-level, open-source programming language and numerical computing environment largely compatible with MATLAB, used for solving linear and nonlinear problems and performing other numerical experiments.
  • E. NVIDIA CUDA
    NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
  • 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: Parallel Computing Toolbox
Triple: [MATLAB, hasComponent, Parallel Computing Toolbox]
Generated description
Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parallel Computing Toolbox
Target entity description: Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
  • A. MATLAB
    MATLAB is a high-level programming language and interactive environment widely used for numerical computing, data analysis, algorithm development, and visualization, particularly in engineering and scientific research.
  • B. Intel Threading Building Blocks
    Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
  • C. High Performance Computing Collaboratory
    The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
  • D. GNU Octave
    GNU Octave is a high-level, open-source programming language and numerical computing environment largely compatible with MATLAB, used for solving linear and nonlinear problems and performing other numerical experiments.
  • E. NVIDIA CUDA
    NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62f7eb88190a02669845126e790 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6c8a58481908d7bd3d4cfaf265c completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f73f38d481908ad44dfd33de85ca completed March 15, 2026, 12:03 a.m.
Created at: March 12, 2026, 11:30 p.m.