Triple
T9892549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSIST |
E181486
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
情報理工学系研究科
情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
|
E828474
|
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: 情報理工学系研究科 | Statement: [GSIST, nativeName, 情報理工学系研究科]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 情報理工学系研究科 Context triple: [GSIST, nativeName, 情報理工学系研究科]
-
A.
情報科学研究科
情報科学研究科は、東北大学に設置された情報科学分野の高度な教育・研究を行う大学院研究科である。
-
B.
システム情報学研究科
システム情報学研究科は、神戸大学に設置されたシステム科学・情報科学分野の高度専門教育と研究を行う大学院研究科です。
-
C.
教育情報学研究科
教育情報学研究科は、東北大学に設置された教育と情報技術の融合分野を専門的に研究・教育する大学院研究科である。
-
D.
Faculty of Electronic and Information Systems
The Faculty of Electronic and Information Systems is an academic division of Brest State Technical University specializing in education and research in electronics, information technologies, and related engineering fields.
-
E.
School of Information Science and Engineering
The School of Information Science and Engineering is a major academic unit of Northeastern University in China specializing in education and research in information technology, computer science, and related engineering fields.
- 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: 情報理工学系研究科 Triple: [GSIST, nativeName, 情報理工学系研究科]
Generated description
情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 情報理工学系研究科 Target entity description: 情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
-
A.
情報科学研究科
情報科学研究科は、東北大学に設置された情報科学分野の高度な教育・研究を行う大学院研究科である。
-
B.
システム情報学研究科
システム情報学研究科は、神戸大学に設置されたシステム科学・情報科学分野の高度専門教育と研究を行う大学院研究科です。
-
C.
教育情報学研究科
教育情報学研究科は、東北大学に設置された教育と情報技術の融合分野を専門的に研究・教育する大学院研究科である。
-
D.
Faculty of Electronic and Information Systems
The Faculty of Electronic and Information Systems is an academic division of Brest State Technical University specializing in education and research in electronics, information technologies, and related engineering fields.
-
E.
School of Information Science and Engineering
The School of Information Science and Engineering is a major academic unit of Northeastern University in China specializing in education and research in information technology, computer science, and related engineering fields.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4814a3c8190ab1fd7f755a44508 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb0d984c81908408f90f156624e5 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1edaceb608190a75e738a34c6d16f |
completed | April 5, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ee5b837c8190b294a78cebf141ae |
completed | April 5, 2026, 5:08 a.m. |
Created at: March 30, 2026, 8:39 p.m.