Triple
T12592561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object |
日本大学文理学部
日本大学文理学部は、日本大学に属し、人文科学から自然科学まで幅広い分野を扱う総合的な学部です。
|
E993883
|
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: 日本大学文理学部 | Statement: [世田谷区, hasUniversity, 日本大学文理学部]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 日本大学文理学部 Context triple: [世田谷区, hasUniversity, 日本大学文理学部]
-
A.
早稲田大学理工学部
早稲田大学理工学部は、東京都に位置する早稲田大学の理工系学部で、工学・基礎科学・先端技術分野の教育と研究で知られる学部です。
-
B.
京都帝国大学
京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
-
C.
東京大学公共政策大学院
東京大学公共政策大学院 is the University of Tokyo’s graduate school specializing in public policy education and research, training professionals for careers in government, international organizations, and related fields.
-
D.
College of Arts and Sciences, University of Tokyo
The College of Arts and Sciences at the University of Tokyo is a foundational undergraduate faculty that provides broad liberal arts education and general education courses before students specialize in their chosen disciplines.
-
E.
近畿大学
近畿大学は、大阪府東大阪市に本部を置き、多数の学部とキャンパスを持つ日本の私立総合大学です。
- 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: 日本大学文理学部 Triple: [世田谷区, hasUniversity, 日本大学文理学部]
Generated description
日本大学文理学部は、日本大学に属し、人文科学から自然科学まで幅広い分野を扱う総合的な学部です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 日本大学文理学部 Target entity description: 日本大学文理学部は、日本大学に属し、人文科学から自然科学まで幅広い分野を扱う総合的な学部です。
-
A.
早稲田大学理工学部
早稲田大学理工学部は、東京都に位置する早稲田大学の理工系学部で、工学・基礎科学・先端技術分野の教育と研究で知られる学部です。
-
B.
京都帝国大学
京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
-
C.
東京大学公共政策大学院
東京大学公共政策大学院 is the University of Tokyo’s graduate school specializing in public policy education and research, training professionals for careers in government, international organizations, and related fields.
-
D.
College of Arts and Sciences, University of Tokyo
The College of Arts and Sciences at the University of Tokyo is a foundational undergraduate faculty that provides broad liberal arts education and general education courses before students specialize in their chosen disciplines.
-
E.
近畿大学
近畿大学は、大阪府東大阪市に本部を置き、多数の学部とキャンパスを持つ日本の私立総合大学です。
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec2dac88190bf31bb00f93feb30 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66308087c81908ab5b5795f255e37 |
completed | May 2, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:07 p.m.