Triple
T4966320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan-Cheng Fung |
E111534
|
entity |
| Predicate | workInstitution |
P1203
|
FINISHED |
| Object |
Department of Aerospace and Mechanical Engineering Sciences, UC San Diego
The Department of Aerospace and Mechanical Engineering Sciences at UC San Diego is an academic department specializing in research and education in aerospace and mechanical engineering, known for pioneering contributions to fields such as biomechanics and engineering science.
|
E483166
|
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 Aerospace and Mechanical Engineering Sciences, UC San Diego | Statement: [Yuan-Cheng Fung, workInstitution, Department of Aerospace and Mechanical Engineering Sciences, UC San Diego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Aerospace and Mechanical Engineering Sciences, UC San Diego Context triple: [Yuan-Cheng Fung, workInstitution, Department of Aerospace and Mechanical Engineering Sciences, UC San Diego]
-
A.
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.
-
B.
Stanford Aeronautics and Astronautics Department
The Stanford Aeronautics and Astronautics Department is a leading academic and research department at Stanford University focused on aerospace science, engineering, and technology.
-
C.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at the University of Tokyo is a leading academic and research unit specializing in aerospace engineering, space science, and related advanced technologies.
-
D.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at Kyoto University is an academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
-
E.
Department of Aerospace Engineering
The Department of Aerospace Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
- 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 Aerospace and Mechanical Engineering Sciences, UC San Diego Triple: [Yuan-Cheng Fung, workInstitution, Department of Aerospace and Mechanical Engineering Sciences, UC San Diego]
Generated description
The Department of Aerospace and Mechanical Engineering Sciences at UC San Diego is an academic department specializing in research and education in aerospace and mechanical engineering, known for pioneering contributions to fields such as biomechanics and engineering science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Aerospace and Mechanical Engineering Sciences, UC San Diego Target entity description: The Department of Aerospace and Mechanical Engineering Sciences at UC San Diego is an academic department specializing in research and education in aerospace and mechanical engineering, known for pioneering contributions to fields such as biomechanics and engineering science.
-
A.
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.
-
B.
Stanford Aeronautics and Astronautics Department
The Stanford Aeronautics and Astronautics Department is a leading academic and research department at Stanford University focused on aerospace science, engineering, and technology.
-
C.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at the University of Tokyo is a leading academic and research unit specializing in aerospace engineering, space science, and related advanced technologies.
-
D.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at Kyoto University is an academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
-
E.
Department of Aerospace Engineering
The Department of Aerospace Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f7ae388190b752770bf577906f |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81f13988819097dcd5a65cb1f502 |
completed | March 21, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69be83b10e048190889289ac2ca9f07f |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be843e2e50819099b2b73498c7c16e |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:32 p.m.