Triple
T9918628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, The University of Tokyo |
E185932
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Department of Aeronautics and Astronautics, The University of Tokyo
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.
|
E829497
|
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 Aeronautics and Astronautics, The University of Tokyo | Statement: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Aeronautics and Astronautics, The University of Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Aeronautics and Astronautics, The University of Tokyo Context triple: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Aeronautics and Astronautics, The University of Tokyo]
-
A.
Faculty of Engineering, The University of Tokyo
The Faculty of Engineering at the University of Tokyo is a leading Japanese engineering faculty renowned for its cutting-edge research and education across a wide range of engineering disciplines.
-
B.
MIT Department of Aeronautics and Astronautics
The MIT Department of Aeronautics and Astronautics is a leading academic and research department focused on aerospace engineering, space exploration, and related technologies.
-
C.
Graduate School of Engineering, The University of Tokyo
The Graduate School of Engineering at the University of Tokyo is a leading Japanese engineering institution renowned for its advanced research and education across a wide range of engineering and technology disciplines.
-
D.
Research Center for Advanced Science and Technology, University of Tokyo
The Research Center for Advanced Science and Technology at the University of Tokyo is a leading interdisciplinary institute focused on pioneering research and innovation across cutting-edge fields in science and technology.
-
E.
Institute of Industrial Science, University of Tokyo
The Institute of Industrial Science at the University of Tokyo is a leading Japanese research institute dedicated to advanced science and engineering, spanning fields from information technology and robotics to materials and environmental studies.
- 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 Aeronautics and Astronautics, The University of Tokyo Triple: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Aeronautics and Astronautics, The University of Tokyo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Aeronautics and Astronautics, The University of Tokyo Target entity description: 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.
-
A.
Faculty of Engineering, The University of Tokyo
The Faculty of Engineering at the University of Tokyo is a leading Japanese engineering faculty renowned for its cutting-edge research and education across a wide range of engineering disciplines.
-
B.
MIT Department of Aeronautics and Astronautics
The MIT Department of Aeronautics and Astronautics is a leading academic and research department focused on aerospace engineering, space exploration, and related technologies.
-
C.
Graduate School of Engineering, The University of Tokyo
The Graduate School of Engineering at the University of Tokyo is a leading Japanese engineering institution renowned for its advanced research and education across a wide range of engineering and technology disciplines.
-
D.
Research Center for Advanced Science and Technology, University of Tokyo
The Research Center for Advanced Science and Technology at the University of Tokyo is a leading interdisciplinary institute focused on pioneering research and innovation across cutting-edge fields in science and technology.
-
E.
Institute of Industrial Science, University of Tokyo
The Institute of Industrial Science at the University of Tokyo is a leading Japanese research institute dedicated to advanced science and engineering, spanning fields from information technology and robotics to materials and environmental studies.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5685a908190ab3e55b9bf9613f6 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dec42848190ab9f8663155df83f |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:42 p.m.