Triple
T11978072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PID Controllers: Theory, Design, and Tuning |
E285085
|
entity |
| Predicate | hasSubject |
P450
|
FINISHED |
| Object |
Ziegler–Nichols tuning
Ziegler–Nichols tuning is a heuristic method for setting the parameters of PID controllers based on process reaction or ultimate gain and period to achieve reasonably good control performance.
|
E957998
|
NE FINISHED |
How this triple was built (4 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: Ziegler–Nichols tuning | Statement: [PID Controllers: Theory, Design, and Tuning, hasSubject, Ziegler–Nichols tuning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziegler–Nichols tuning Context triple: [PID Controllers: Theory, Design, and Tuning, hasSubject, Ziegler–Nichols tuning]
-
A.
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.
-
B.
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.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Nyquist stability criterion
The Nyquist stability criterion is a graphical frequency-domain method in control theory used to determine the stability of feedback systems by analyzing how their open-loop transfer function encircles a critical point in the complex plane.
-
E.
Nichols chart
A Nichols chart is a graphical design tool used in control engineering to analyze and shape the closed-loop frequency response by plotting open-loop gain versus phase on contour maps of constant closed-loop magnitude.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ziegler–Nichols tuning Triple: [PID Controllers: Theory, Design, and Tuning, hasSubject, Ziegler–Nichols tuning]
Generated description
Ziegler–Nichols tuning is a heuristic method for setting the parameters of PID controllers based on process reaction or ultimate gain and period to achieve reasonably good control performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ziegler–Nichols tuning Target entity description: Ziegler–Nichols tuning is a heuristic method for setting the parameters of PID controllers based on process reaction or ultimate gain and period to achieve reasonably good control performance.
-
A.
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.
-
B.
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.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Nyquist stability criterion
The Nyquist stability criterion is a graphical frequency-domain method in control theory used to determine the stability of feedback systems by analyzing how their open-loop transfer function encircles a critical point in the complex plane.
-
E.
Nichols chart
A Nichols chart is a graphical design tool used in control engineering to analyze and shape the closed-loop frequency response by plotting open-loop gain versus phase on contour maps of constant closed-loop magnitude.
- F. None of above. chosen
Provenance (5 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471f6afc48190856a0f7c486b28aa |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.