Triple
T18257300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parallel Computing Toolbox |
E437248
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | MATLAB Distributed Computing Server |
—
|
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 Distributed Computing Server | Statement: [Parallel Computing Toolbox, integratesWith, MATLAB Distributed Computing Server]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MATLAB Distributed Computing Server Context triple: [Parallel Computing Toolbox, integratesWith, MATLAB Distributed Computing Server]
-
A.
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.
-
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.
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.
-
D.
MATLAB Compiler
MATLAB Compiler is a MathWorks tool that converts MATLAB programs into standalone applications and shared libraries that can run without a MATLAB installation.
-
E.
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.
- 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 Distributed Computing Server Target entity description: MATLAB Distributed Computing Server is a MATLAB product that enables large-scale parallel computing by running MATLAB and Simulink computations across computer clusters and clouds.
-
A.
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.
-
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.
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.
-
D.
MATLAB Compiler
MATLAB Compiler is a MathWorks tool that converts MATLAB programs into standalone applications and shared libraries that can run without a MATLAB installation.
-
E.
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.
- 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.