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.