Triple

T13183
Position Surface form Disambiguated ID Type / Status
Subject IEEE Robotics and Automation Society E264 entity
Predicate hasTechnicalCommittee P1380 FINISHED
Object 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.
E5027 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: Technical Committee on Robot Learning | Statement: [IEEE Robotics and Automation Society, hasTechnicalCommittee, Technical Committee on Robot Learning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technical Committee on Robot Learning
Context triple: [IEEE Robotics and Automation Society, hasTechnicalCommittee, Technical Committee on Robot Learning]
  • A. Technical Committee on Humanoid Robotics
    The Technical Committee on Humanoid Robotics is a specialized IEEE RAS body that promotes research, development, and coordination of activities in the field of humanoid robot design, control, and applications.
  • B. 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.
  • C. Lifelong Learning Machines program
    The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
  • D. IEEE Transactions on Robotics
    IEEE Transactions on Robotics is a leading peer-reviewed scientific journal that publishes advanced research on the theory, design, and application of robotic systems and automation technologies.
  • E. Technical Committee on Aerial Robotics and Unmanned Aerial Vehicles
    The Technical Committee on Aerial Robotics and Unmanned Aerial Vehicles is a specialized IEEE RAS body that advances research, development, and standardization in aerial robotics and UAV technologies.
  • 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: Technical Committee on Robot Learning
Triple: [IEEE Robotics and Automation Society, hasTechnicalCommittee, Technical Committee on Robot Learning]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Technical Committee on Robot Learning
Target entity description: 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.
  • A. Technical Committee on Humanoid Robotics
    The Technical Committee on Humanoid Robotics is a specialized IEEE RAS body that promotes research, development, and coordination of activities in the field of humanoid robot design, control, and applications.
  • B. 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.
  • C. Lifelong Learning Machines program
    The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
  • D. IEEE Transactions on Robotics
    IEEE Transactions on Robotics is a leading peer-reviewed scientific journal that publishes advanced research on the theory, design, and application of robotic systems and automation technologies.
  • E. Technical Committee on Aerial Robotics and Unmanned Aerial Vehicles
    The Technical Committee on Aerial Robotics and Unmanned Aerial Vehicles is a specialized IEEE RAS body that advances research, development, and standardization in aerial robotics and UAV technologies.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2465b2cf881908bf61c461e04cf6a completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552ac50c819085e4e45c00cd7956 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2569d3d008190ad1546d18ba30375 completed Feb. 28, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2573414808190bbab27e1f48479a5 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.