Triple

T21466808
Position Surface form Disambiguated ID Type / Status
Subject 堀越 二郎 E529613 entity
Predicate almaMater P5 FINISHED
Object 東京帝国大学 NE NERFINISHED

How this triple was built (2 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: [堀越 二郎, almaMater, 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: [堀越 二郎, almaMater, 東京帝国大学]
  • A. 東京帝国大学 chosen
    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。
  • 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. 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.
  • D. Taihoku Imperial University
    Taihoku Imperial University was a Japanese colonial-era higher education institution in Taiwan that later became National Taiwan University.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:13 p.m.