Triple

T3057008
Position Surface form Disambiguated ID Type / Status
Subject Keio University E60504 entity
Predicate hasNickname P39 FINISHED
Object Keio E60504 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: Keio | Statement: [Keio University, hasNickname, Keio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio
Context triple: [Keio University, hasNickname, Keio]
  • A. Keio University chosen
    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.
  • B. Tokyo Daigaku
    Tokyo Daigaku, commonly known as the University of Tokyo, is Japan’s most prestigious national research university and a leading institution in higher education and scholarship in Asia.
  • C. Showa University
    Showa University is a private Japanese university known for its strong focus on medical and health sciences education and research.
  • D. Seisen University
    Seisen University is a private Catholic liberal arts university in Tokyo, Japan, known for its focus on humanities, global studies, and education.
  • E. Gakushuin University
    Gakushuin University is a prestigious private university in Tokyo historically known for educating members of Japan’s imperial family and elite.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10791159c81909b91cd5beb962e39 completed March 23, 2026, 9:27 a.m.
Created at: March 8, 2026, 3:02 p.m.