Triple

T2865532
Position Surface form Disambiguated ID Type / Status
Subject Petar V. Kokotović E63428 entity
Predicate fieldOfWork P3 FINISHED
Object adaptive control
Adaptive control is a branch of control theory that designs controllers capable of automatically adjusting their parameters in real time to maintain desired performance in systems with uncertain or time-varying dynamics.
E287179 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: adaptive control | Statement: [Petar V. Kokotović, fieldOfWork, adaptive control]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: adaptive control
Context triple: [Petar V. Kokotović, fieldOfWork, adaptive control]
  • A. 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.
  • B. control theory
    Control theory is a branch of engineering and mathematics that studies how to model, analyze, and design systems that regulate their own behavior using feedback.
  • 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. Dynamic Systems and Control Division
    The Dynamic Systems and Control Division is a technical division of the American Society of Mechanical Engineers focused on the modeling, analysis, and control of dynamic engineering systems.
  • E. Introduction to Stochastic Control Theory
    Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
  • 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: adaptive control
Triple: [Petar V. Kokotović, fieldOfWork, adaptive control]
Generated description
Adaptive control is a branch of control theory that designs controllers capable of automatically adjusting their parameters in real time to maintain desired performance in systems with uncertain or time-varying dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: adaptive control
Target entity description: Adaptive control is a branch of control theory that designs controllers capable of automatically adjusting their parameters in real time to maintain desired performance in systems with uncertain or time-varying dynamics.
  • A. Åström–Wittenmark adaptive control framework chosen
    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.
  • B. control theory
    Control theory is a branch of engineering and mathematics that studies how to model, analyze, and design systems that regulate their own behavior using feedback.
  • 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. Dynamic Systems and Control Division
    The Dynamic Systems and Control Division is a technical division of the American Society of Mechanical Engineers focused on the modeling, analysis, and control of dynamic engineering systems.
  • E. Introduction to Stochastic Control Theory
    Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
  • F. None of above.

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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb9e64c819087b1a47caeb174d5 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da458ec8190ae07237d7e23b302 completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e45f6e481908665e0961c3a3778 completed March 10, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69b0224832108190be252c0245d588d2 completed March 10, 2026, 1:53 p.m.
Created at: March 6, 2026, 10:02 p.m.