Triple

T390691
Position Surface form Disambiguated ID Type / Status
Subject Robotics Institute, Carnegie Mellon University E8872 entity
Predicate offersProgram P178 FINISHED
Object MS in Robotic Systems Development
MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
E49232 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: MS in Robotic Systems Development | Statement: [Robotics Institute, Carnegie Mellon University, offersProgram, MS in Robotic Systems Development]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MS in Robotic Systems Development
Context triple: [Robotics Institute, Carnegie Mellon University, offersProgram, MS in Robotic Systems Development]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • E. DARPA Robotics Challenge
    The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
  • 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: MS in Robotic Systems Development
Triple: [Robotics Institute, Carnegie Mellon University, offersProgram, MS in Robotic Systems Development]
Generated description
MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MS in Robotic Systems Development
Target entity description: MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • E. DARPA Robotics Challenge
    The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4035310608190a1e0f807cb93e1e1 completed March 1, 2026, 9:13 a.m.
NEDg Description generation batch_69a403a7c1488190a7773a5ae8a8cec7 completed March 1, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69a40428b014819091c6534ba35a11ff completed March 1, 2026, 9:17 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.