Triple
T18257211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simulink |
E437246
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Simulink Control Design |
—
|
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: Simulink Control Design | Statement: [Simulink, integratesWith, Simulink Control Design]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simulink Control Design Context triple: [Simulink, integratesWith, Simulink Control Design]
-
A.
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.
-
B.
Control System Design
Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback control systems.
-
C.
PID Controllers: Theory, Design, and Tuning
PID Controllers: Theory, Design, and Tuning is a foundational engineering text that systematically presents the principles, practical design methods, and tuning techniques for proportional–integral–derivative control systems.
-
D.
Control Systems Engineering
"Control Systems Engineering" is a foundational technical book that systematically presents the principles, analysis methods, and design techniques used in automatic control systems.
-
E.
Quantitative Feedback Theory
Quantitative Feedback Theory is a robust control design methodology that uses frequency-domain techniques and quantitative bounds to ensure system performance and stability under uncertainty.
- 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: Simulink Control Design Target entity description: Simulink Control Design is a MATLAB toolbox that provides tools for designing, analyzing, and tuning control systems directly within Simulink models.
-
A.
Simulink
chosen
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.
-
B.
Control System Design
Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback control systems.
-
C.
PID Controllers: Theory, Design, and Tuning
PID Controllers: Theory, Design, and Tuning is a foundational engineering text that systematically presents the principles, practical design methods, and tuning techniques for proportional–integral–derivative control systems.
-
D.
Control Systems Engineering
"Control Systems Engineering" is a foundational technical book that systematically presents the principles, analysis methods, and design techniques used in automatic control systems.
-
E.
Quantitative Feedback Theory
Quantitative Feedback Theory is a robust control design methodology that uses frequency-domain techniques and quantitative bounds to ensure system performance and stability under uncertainty.
- F. None of above.
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.