Triple
T18257133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MathWorks |
E437244
|
entity |
| Predicate | hasEducationalProgram |
P2489
|
FINISHED |
| Object | MATLAB and Simulink for Universities |
—
|
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 and Simulink for Universities | Statement: [MathWorks, hasEducationalProgram, MATLAB and Simulink for Universities]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MATLAB and Simulink for Universities Context triple: [MathWorks, hasEducationalProgram, MATLAB and Simulink for Universities]
-
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.
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.
-
C.
MathWorks
MathWorks is a software company best known for creating MATLAB and Simulink, widely used platforms for numerical computing, simulation, and model-based design in engineering and science.
-
D.
Advances in Engineering Education
Advances in Engineering Education is a peer-reviewed journal focusing on innovative practices, research, and scholarship in engineering education.
-
E.
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.
- 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 and Simulink for Universities Target entity description: MATLAB and Simulink for Universities is an academic program that provides higher-education institutions with campus-wide access to MathWorks’ numerical computing and simulation tools, along with teaching, learning, and research resources.
-
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.
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.
-
C.
MathWorks
MathWorks is a software company best known for creating MATLAB and Simulink, widely used platforms for numerical computing, simulation, and model-based design in engineering and science.
-
D.
Advances in Engineering Education
Advances in Engineering Education is a peer-reviewed journal focusing on innovative practices, research, and scholarship in engineering education.
-
E.
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.
- 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.