Triple
T350308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering, University of California, Berkeley |
E7426
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Department of Nuclear Engineering, UC Berkeley
The Department of Nuclear Engineering at UC Berkeley is a leading academic department specializing in nuclear science, engineering, and related technologies, known for its research and education in areas such as reactor physics, radiation detection, and nuclear security.
|
E44991
|
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 Nuclear Engineering, UC Berkeley | Statement: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Nuclear Engineering, UC Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Nuclear Engineering, UC Berkeley Context triple: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Nuclear Engineering, UC Berkeley]
-
A.
Department of Materials Science and Engineering, UC Berkeley
The Department of Materials Science and Engineering at UC Berkeley is a leading academic department focused on the study, design, and engineering of materials for advanced technologies and scientific innovation.
-
B.
MIT Nuclear Reactor Laboratory
The MIT Nuclear Reactor Laboratory is a leading university-based research facility that operates a nuclear research reactor for advanced studies in nuclear science, engineering, and related fields.
-
C.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, computer science, and related fields.
-
D.
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory is a U.S. Department of Energy national research laboratory in Berkeley, California, renowned for pioneering work in nuclear and particle physics, chemistry, and energy sciences.
-
E.
Laboratory for Nuclear Science
The Laboratory for Nuclear Science is a major MIT research center focused on advancing fundamental understanding of nuclear and particle physics.
- 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 Nuclear Engineering, UC Berkeley Triple: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Nuclear Engineering, UC Berkeley]
Generated description
The Department of Nuclear Engineering at UC Berkeley is a leading academic department specializing in nuclear science, engineering, and related technologies, known for its research and education in areas such as reactor physics, radiation detection, and nuclear security.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Nuclear Engineering, UC Berkeley Target entity description: The Department of Nuclear Engineering at UC Berkeley is a leading academic department specializing in nuclear science, engineering, and related technologies, known for its research and education in areas such as reactor physics, radiation detection, and nuclear security.
-
A.
Department of Materials Science and Engineering, UC Berkeley
The Department of Materials Science and Engineering at UC Berkeley is a leading academic department focused on the study, design, and engineering of materials for advanced technologies and scientific innovation.
-
B.
MIT Nuclear Reactor Laboratory
The MIT Nuclear Reactor Laboratory is a leading university-based research facility that operates a nuclear research reactor for advanced studies in nuclear science, engineering, and related fields.
-
C.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, computer science, and related fields.
-
D.
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory is a U.S. Department of Energy national research laboratory in Berkeley, California, renowned for pioneering work in nuclear and particle physics, chemistry, and energy sciences.
-
E.
Laboratory for Nuclear Science
The Laboratory for Nuclear Science is a major MIT research center focused on advancing fundamental understanding of nuclear and particle physics.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1f028c819098fa6480b4ca5cf0 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e0165b6481909345301df3f2144d |
completed | March 1, 2026, 6:43 a.m. |
| NEDg | Description generation | batch_69a3e07452388190a8162c327c76185b |
completed | March 1, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3e17d43f4819081500e106d3973e9 |
completed | March 1, 2026, 6:49 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.