Triple
T350304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering, University of California, Berkeley |
E7426
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Department of Mechanical Engineering, UC Berkeley
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
|
E45703
|
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, UC Berkeley | Statement: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Mechanical Engineering, UC Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, UC Berkeley Context triple: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Mechanical Engineering, UC Berkeley]
-
A.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
- 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, UC Berkeley Triple: [College of Engineering, University of California, Berkeley, hasAcademicUnit, Department of Mechanical Engineering, UC Berkeley]
Generated description
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, UC Berkeley Target entity description: The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
-
A.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
- 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_69a3e57497948190918b163378036fd4 |
completed | March 1, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69a3e5e50b848190ab5d036719048df8 |
completed | March 1, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3e63c749c8190b5bfd85b7ccafa9c |
completed | March 1, 2026, 7:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.