Triple
T5599722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 神戸大学 |
E147086
|
entity |
| Predicate | hasGraduateSchool |
P113
|
FINISHED |
| Object |
理学研究科
理学研究科 is the Graduate School of Science at Kobe University, dedicated to advanced education and research in fundamental scientific disciplines.
|
E528903
|
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: 理学研究科 | Statement: [神戸大学, hasGraduateSchool, 理学研究科]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 理学研究科 Context triple: [神戸大学, hasGraduateSchool, 理学研究科]
-
A.
環境科学研究科
環境科学研究科は、環境問題の解決に向けた学際的な教育・研究を行う東北大学の大学院研究科です。
-
B.
School of Resources and Environmental Science
The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary fields.
-
C.
農学研究科
農学研究科は、東北大学に設置された農学分野の高度な教育・研究を行う大学院研究科です。
-
D.
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。
-
E.
School of Sciences
The School of Sciences at Christian Brothers University is an academic division focused on undergraduate and graduate education and research in scientific disciplines such as biology, chemistry, physics, and related 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: 理学研究科 Triple: [神戸大学, hasGraduateSchool, 理学研究科]
Generated description
理学研究科 is the Graduate School of Science at Kobe University, dedicated to advanced education and research in fundamental scientific disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 理学研究科 Target entity description: 理学研究科 is the Graduate School of Science at Kobe University, dedicated to advanced education and research in fundamental scientific disciplines.
-
A.
環境科学研究科
環境科学研究科は、環境問題の解決に向けた学際的な教育・研究を行う東北大学の大学院研究科です。
-
B.
School of Resources and Environmental Science
The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary fields.
-
C.
農学研究科
農学研究科は、東北大学に設置された農学分野の高度な教育・研究を行う大学院研究科です。
-
D.
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。
-
E.
School of Sciences
The School of Sciences at Christian Brothers University is an academic division focused on undergraduate and graduate education and research in scientific disciplines such as biology, chemistry, physics, and related 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d936dc8190a2e599f1df9fdd91 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287139508190aa646918228cfdc0 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0350eb53081909dc573fefa3e7f0a |
completed | March 22, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036ee4e1c8190b9e60655d72407ff |
completed | March 22, 2026, 6:37 p.m. |
Created at: March 22, 2026, 3:38 p.m.