Triple
T13343709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Hosei University |
E317890
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Mechanical Engineering, Hosei University
The Department of Mechanical Engineering at Hosei University is an academic unit specializing in education and research in mechanical engineering and related technologies.
|
E1035602
|
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, Hosei University | Statement: [Faculty of Engineering, Hosei University, hasDepartment, Department of Mechanical Engineering, Hosei University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Hosei University Context triple: [Faculty of Engineering, Hosei University, hasDepartment, Department of Mechanical Engineering, Hosei University]
-
A.
Faculty of Engineering, Tohoku University
The Faculty of Engineering at Tohoku University is a major academic division of the university in Sendai, Japan, renowned for its research and education in engineering and applied sciences.
-
B.
Department of Mechanical Engineering, Johns Hopkins University
The Department of Mechanical Engineering at Johns Hopkins University is a leading academic and research unit specializing in areas such as fluid mechanics, robotics, and materials science within the university’s Whiting School of Engineering.
-
C.
Faculty of Mechanical Science and Engineering
The Faculty of Mechanical Science and Engineering is a major academic division of the Dresden University of Technology specializing in mechanical engineering education and research.
-
D.
Faculty of Engineering, Hokkaido University
The Faculty of Engineering at Hokkaido University is a major academic division that provides undergraduate engineering education and supports advanced research and graduate programs across a wide range of engineering disciplines.
-
E.
Department of Mechanical Engineering, Ege University
The Department of Mechanical Engineering at Ege University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering within the university’s Faculty of Engineering.
- 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, Hosei University Triple: [Faculty of Engineering, Hosei University, hasDepartment, Department of Mechanical Engineering, Hosei University]
Generated description
The Department of Mechanical Engineering at Hosei University is an academic unit specializing in education and research in mechanical engineering and related technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Hosei University Target entity description: The Department of Mechanical Engineering at Hosei University is an academic unit specializing in education and research in mechanical engineering and related technologies.
-
A.
Faculty of Engineering, Tohoku University
The Faculty of Engineering at Tohoku University is a major academic division of the university in Sendai, Japan, renowned for its research and education in engineering and applied sciences.
-
B.
Department of Mechanical Engineering, Johns Hopkins University
The Department of Mechanical Engineering at Johns Hopkins University is a leading academic and research unit specializing in areas such as fluid mechanics, robotics, and materials science within the university’s Whiting School of Engineering.
-
C.
Faculty of Mechanical Science and Engineering
The Faculty of Mechanical Science and Engineering is a major academic division of the Dresden University of Technology specializing in mechanical engineering education and research.
-
D.
Faculty of Engineering, Hokkaido University
The Faculty of Engineering at Hokkaido University is a major academic division that provides undergraduate engineering education and supports advanced research and graduate programs across a wide range of engineering disciplines.
-
E.
Department of Mechanical Engineering, Ege University
The Department of Mechanical Engineering at Ege University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering within the university’s Faculty of Engineering.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221887208190ac98945a023bc496 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.