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.