Triple
T11245966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 帝国大学 |
E266204
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
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.
|
E914081
|
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: 京都帝国大学 | Statement: [帝国大学, includes, 京都帝国大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京都帝国大学 Context triple: [帝国大学, includes, 京都帝国大学]
-
A.
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.
-
B.
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。
-
C.
台北帝国大学
台北帝国大学 was a Japanese colonial-era imperial university in Taipei that later became the foundation for National Taiwan University.
-
D.
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.
-
E.
京都大学宇治キャンパス
京都大学宇治キャンパス is a major satellite campus of Kyoto University located in Uji, Kyoto Prefecture, known for its advanced research institutes in fields such as energy science, disaster prevention, and basic science.
- 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: 京都帝国大学 Triple: [帝国大学, includes, 京都帝国大学]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 京都帝国大学 Target entity description: 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.
-
A.
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.
-
B.
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。
-
C.
台北帝国大学
台北帝国大学 was a Japanese colonial-era imperial university in Taipei that later became the foundation for National Taiwan University.
-
D.
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.
-
E.
京都大学宇治キャンパス
京都大学宇治キャンパス is a major satellite campus of Kyoto University located in Uji, Kyoto Prefecture, known for its advanced research institutes in fields such as energy science, disaster prevention, and basic science.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc69402c8190be8785f892a41c7b |
completed | April 19, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69e4d9eb79608190b7ed108906f4e2bf |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4df50eebc8190a4fe0aba7dc9fa62 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.