Triple
T1603801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Engineering, The University of Tokyo |
E34451
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Materials Engineering
The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering of advanced materials.
|
E181239
|
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 Materials Engineering | Statement: [Graduate School of Engineering, The University of Tokyo, hasDepartment, Department of Materials Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Engineering Context triple: [Graduate School of Engineering, The University of Tokyo, hasDepartment, Department of Materials Engineering]
-
A.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
B.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
C.
Faculty of Materials Science
The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
-
D.
Department of Mining and Materials Engineering
The Department of Mining and Materials Engineering is an academic unit at McGill University that focuses on education and research in mineral resource extraction, materials science, and related engineering disciplines.
-
E.
Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
- 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 Materials Engineering Triple: [Graduate School of Engineering, The University of Tokyo, hasDepartment, Department of Materials Engineering]
Generated description
The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering of advanced materials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Engineering Target entity description: The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering of advanced materials.
-
A.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
B.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
C.
Faculty of Materials Science
The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
-
D.
Department of Mining and Materials Engineering
The Department of Mining and Materials Engineering is an academic unit at McGill University that focuses on education and research in mineral resource extraction, materials science, and related engineering disciplines.
-
E.
Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094f96ec819090286c21b3dfddd5 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ae8ef08190acf018f1db4bfa7c |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4827c51c8190b07f4e07ba710c9d |
completed | March 8, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad487f5ce08190a72efddc64bd496c |
completed | March 8, 2026, 9:59 a.m. |
Created at: March 4, 2026, 7:28 p.m.