Triple
T14168587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊藤 清 |
E351143
|
entity |
| Predicate | 出身大学 |
P73067
|
FINISHED |
| Object |
東京帝国大学
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
|
E1082881
|
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: 東京帝国大学 | Statement: [伊藤 清, 出身大学, 東京帝国大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 東京帝国大学 Context triple: [伊藤 清, 出身大学, 東京帝国大学]
-
A.
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.
-
B.
國學院大學
國學院大學 is a private Japanese university in Tokyo known for its focus on Shinto studies, Japanese history, and traditional culture.
-
C.
Keijo Imperial University
Keijo Imperial University was a Japanese imperial university established in colonial Korea that served as a major center for higher education and research under Japanese rule.
-
D.
Meiji University
Meiji University is a prominent private research university in Tokyo, Japan, known for its strong programs in law, politics, and the humanities.
-
E.
Liberal Arts College of the University of Tokyo
The Liberal Arts College of the University of Tokyo is the undergraduate College of Arts and Sciences that provides a broad-based general education to all first- and second-year students before they specialize in their chosen 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: 東京帝国大学 Triple: [伊藤 清, 出身大学, 東京帝国大学]
Generated description
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 東京帝国大学 Target entity description: 東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
-
A.
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.
-
B.
國學院大學
國學院大學 is a private Japanese university in Tokyo known for its focus on Shinto studies, Japanese history, and traditional culture.
-
C.
Keijo Imperial University
Keijo Imperial University was a Japanese imperial university established in colonial Korea that served as a major center for higher education and research under Japanese rule.
-
D.
Meiji University
Meiji University is a prominent private research university in Tokyo, Japan, known for its strong programs in law, politics, and the humanities.
-
E.
Liberal Arts College of the University of Tokyo
The Liberal Arts College of the University of Tokyo is the undergraduate College of Arts and Sciences that provides a broad-based general education to all first- and second-year students before they specialize in their chosen 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcf8bb58ac81908e66156a805edda8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf93b528c81908c0ee11908d25574 |
completed | May 7, 2026, 8:42 p.m. |
Created at: April 10, 2026, 1 a.m.