Triple
T137873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering (Carnegie Mellon University) |
E2787
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Mechanical Engineering (Carnegie Mellon University)
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
|
E16046
|
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: Department of Mechanical Engineering (Carnegie Mellon University) | Statement: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Mechanical Engineering (Carnegie Mellon University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering (Carnegie Mellon University) Context triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Mechanical Engineering (Carnegie Mellon University)]
-
A.
Robotics Institute, Carnegie Mellon University
The Robotics Institute at Carnegie Mellon University is a leading research and education center dedicated to advancing the science and technology of robotics and artificial intelligence.
-
B.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
C.
College of Engineering
The College of Engineering at Oregon State University is a major public engineering school known for its research-intensive programs and strong emphasis on innovation and industry collaboration.
-
D.
College of Engineering
The College of Engineering at Texas A&M University is a major public engineering school known for its large enrollment, strong research programs, and wide range of undergraduate and graduate engineering disciplines.
-
E.
College of Engineering
The College of Engineering at the University of California, Berkeley is a top-ranked public engineering school known for pioneering research, innovation, and influential contributions to technology and industry.
- 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: Department of Mechanical Engineering (Carnegie Mellon University) Triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Mechanical Engineering (Carnegie Mellon University)]
Generated description
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering (Carnegie Mellon University) Target entity description: The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
-
A.
Robotics Institute, Carnegie Mellon University
The Robotics Institute at Carnegie Mellon University is a leading research and education center dedicated to advancing the science and technology of robotics and artificial intelligence.
-
B.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
C.
College of Engineering
The College of Engineering at Oregon State University is a major public engineering school known for its research-intensive programs and strong emphasis on innovation and industry collaboration.
-
D.
College of Engineering
The College of Engineering at Texas A&M University is a major public engineering school known for its large enrollment, strong research programs, and wide range of undergraduate and graduate engineering disciplines.
-
E.
College of Engineering
The College of Engineering at the University of California, Berkeley is a top-ranked public engineering school known for pioneering research, innovation, and influential contributions to technology and industry.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b0198e08819088752a41f4a1d488 |
completed | Feb. 28, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_69a2b0cc512c8190a6c8ebef9b97d653 |
completed | Feb. 28, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b185f194819095e8db41918a20e7 |
completed | Feb. 28, 2026, 9:12 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.