Triple

T11245965
Position Surface form Disambiguated ID Type / Status
Subject 帝国大学 E266204 entity
Predicate includes P1393 FINISHED
Object 東京帝国大学 E5563 NE FINISHED

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: [帝国大学, includes, 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: [帝国大学, includes, 東京帝国大学]
  • 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. 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.
  • C. University of Tokyo chosen
    The University of Tokyo is Japan’s most prestigious and oldest national research university, renowned for its leading role in higher education, science, and public policy in Japan and worldwide.
  • D. Osaka Imperial University
    Osaka Imperial University was a major pre-World War II Japanese national university and research institution, particularly noted for its contributions to science and engineering.
  • E. Keio University
    Keio University is a prestigious private research university in Tokyo, Japan, known as the country’s oldest modern institution of higher education and a leading center for academics and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e4ad8c3bec8190987451ab73e79011 completed April 19, 2026, 10:25 a.m.
Created at: April 8, 2026, 9:31 p.m.