Triple
T137874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering (Carnegie Mellon University) |
E2787
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Civil and Environmental Engineering (Carnegie Mellon University)
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
|
E16647
|
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 Civil and Environmental Engineering (Carnegie Mellon University) | Statement: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Civil and Environmental Engineering (Carnegie Mellon University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Environmental Engineering (Carnegie Mellon University) Context triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Civil and Environmental Engineering (Carnegie Mellon University)]
-
A.
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.
-
B.
CMU College of Engineering
CMU College of Engineering is the engineering school of Carnegie Mellon University, renowned for its cutting-edge research and education in areas such as robotics, computer engineering, and materials science.
-
C.
Department of Biomedical Engineering (Carnegie Mellon University)
The Department of Biomedical Engineering at Carnegie Mellon University is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as medical devices, tissue engineering, and computational biology.
-
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 Oregon State University is a major public engineering school known for its research-intensive programs and strong emphasis on innovation and industry collaboration.
- 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 Civil and Environmental Engineering (Carnegie Mellon University) Triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Civil and Environmental Engineering (Carnegie Mellon University)]
Generated description
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Environmental Engineering (Carnegie Mellon University) Target entity description: The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
-
A.
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.
-
B.
CMU College of Engineering
CMU College of Engineering is the engineering school of Carnegie Mellon University, renowned for its cutting-edge research and education in areas such as robotics, computer engineering, and materials science.
-
C.
Department of Biomedical Engineering (Carnegie Mellon University)
The Department of Biomedical Engineering at Carnegie Mellon University is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as medical devices, tissue engineering, and computational biology.
-
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 Oregon State University is a major public engineering school known for its research-intensive programs and strong emphasis on innovation and industry collaboration.
- 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_69a2b85fe4d481909e39b745857b62e7 |
completed | Feb. 28, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69a2b8fccfe081909f9b3d4c5f900a1c |
completed | Feb. 28, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b983d1d081909a850747695b8e0c |
completed | Feb. 28, 2026, 9:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.