Triple
T18257107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MathWorks |
E437244
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | MATLAB Toolboxes |
—
|
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: MATLAB Toolboxes | Statement: [MathWorks, product, MATLAB Toolboxes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MATLAB Toolboxes Context triple: [MathWorks, product, MATLAB Toolboxes]
-
A.
Statistics and Machine Learning Toolbox
Statistics and Machine Learning Toolbox is a MATLAB add-on that provides functions and apps for statistical analysis, predictive modeling, and machine learning.
-
B.
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.
-
C.
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.
-
D.
MATLAB Computer Vision Toolbox
MATLAB Computer Vision Toolbox is a specialized add-on for MATLAB that provides algorithms, functions, and tools for designing, simulating, and deploying computer vision and video processing applications.
-
E.
Simulink
Simulink is a graphical modeling and simulation environment for designing, simulating, and analyzing dynamic systems, commonly used within MATLAB for control, signal processing, and embedded system development.
- 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: MATLAB Toolboxes Target entity description: MATLAB Toolboxes are specialized add-on collections of functions and apps that extend MATLAB’s capabilities for tasks such as signal processing, machine learning, control systems, and more.
-
A.
Statistics and Machine Learning Toolbox
Statistics and Machine Learning Toolbox is a MATLAB add-on that provides functions and apps for statistical analysis, predictive modeling, and machine learning.
-
B.
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.
-
C.
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.
-
D.
MATLAB Computer Vision Toolbox
MATLAB Computer Vision Toolbox is a specialized add-on for MATLAB that provides algorithms, functions, and tools for designing, simulating, and deploying computer vision and video processing applications.
-
E.
Simulink
Simulink is a graphical modeling and simulation environment for designing, simulating, and analyzing dynamic systems, commonly used within MATLAB for control, signal processing, and embedded system development.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd86e21081909c049082949b95c6 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.