Triple

T2513265
Position Surface form Disambiguated ID Type / Status
Subject Bruno Siciliano E52748 entity
Predicate notableWork P4 FINISHED
Object Robotics: Modelling, Planning and Control
"Robotics: Modelling, Planning and Control" is a widely used advanced robotics textbook that systematically covers the mathematical foundations, algorithms, and practical methods for modeling, planning, and controlling robotic systems.
E272782 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: Robotics: Modelling, Planning and Control | Statement: [Bruno Siciliano, notableWork, Robotics: Modelling, Planning and Control]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robotics: Modelling, Planning and Control
Context triple: [Bruno Siciliano, notableWork, Robotics: Modelling, Planning and Control]
  • A. Technical Committee on Mobile Robots
    The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
  • B. CMU Highly Intelligent Mobile Platform
    CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
  • C. Rosa robotic platform
    The Rosa robotic platform is a surgical robotics system used primarily in orthopedic and neurosurgical procedures to enhance precision and assist surgeons in joint replacement and spine surgeries.
  • D. IEEE Robotics and Automation Magazine
    IEEE Robotics and Automation Magazine is a peer-reviewed periodical that features articles, tutorials, and reviews on cutting-edge research and applications in robotics and automation for both academic and industrial audiences.
  • E. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • 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: Robotics: Modelling, Planning and Control
Triple: [Bruno Siciliano, notableWork, Robotics: Modelling, Planning and Control]
Generated description
"Robotics: Modelling, Planning and Control" is a widely used advanced robotics textbook that systematically covers the mathematical foundations, algorithms, and practical methods for modeling, planning, and controlling robotic systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robotics: Modelling, Planning and Control
Target entity description: "Robotics: Modelling, Planning and Control" is a widely used advanced robotics textbook that systematically covers the mathematical foundations, algorithms, and practical methods for modeling, planning, and controlling robotic systems.
  • A. Technical Committee on Mobile Robots
    The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
  • B. CMU Highly Intelligent Mobile Platform
    CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
  • C. Rosa robotic platform
    The Rosa robotic platform is a surgical robotics system used primarily in orthopedic and neurosurgical procedures to enhance precision and assist surgeons in joint replacement and spine surgeries.
  • D. IEEE Robotics and Automation Magazine
    IEEE Robotics and Automation Magazine is a peer-reviewed periodical that features articles, tutorials, and reviews on cutting-edge research and applications in robotics and automation for both academic and industrial audiences.
  • E. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faed61481909f13b8a014b39ed3 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af20e421308190b62a954659537163 completed March 9, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69af215e2eec8190a18e41824acf196b completed March 9, 2026, 7:37 p.m.
Created at: March 6, 2026, 9:46 p.m.