Triple
T18257136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MathWorks |
E437244
|
entity |
| Predicate | hasOnlineService |
P57
|
FINISHED |
| Object | MATLAB Drive |
—
|
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 Drive | Statement: [MathWorks, hasOnlineService, MATLAB Drive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MATLAB Drive Context triple: [MathWorks, hasOnlineService, MATLAB Drive]
-
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.
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.
-
C.
Google Colab
Google Colab is a cloud-based Jupyter notebook environment provided by Google that lets users write and run Python code—especially for data science and machine learning—without local setup.
-
D.
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.
-
E.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
- 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 Drive Target entity description: MATLAB Drive is MathWorks’ cloud-based storage and synchronization service for accessing, managing, and sharing MATLAB files across devices and online.
-
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.
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.
-
C.
Google Colab
Google Colab is a cloud-based Jupyter notebook environment provided by Google that lets users write and run Python code—especially for data science and machine learning—without local setup.
-
D.
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.
-
E.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
- 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.