Triple

T3530436
Position Surface form Disambiguated ID Type / Status
Subject Shinagawa E74645 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Seisen University E527039 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: Seisen University | Statement: [Shinagawa, hasEducationalInstitution, Seisen University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seisen University
Context triple: [Shinagawa, hasEducationalInstitution, Seisen University]
  • A. Seisen University chosen
    Seisen University is a private Catholic liberal arts university in Tokyo, Japan, known for its focus on humanities, global studies, and education.
  • B. Seikei University
    Seikei University is a private Japanese university in Tokyo known for educating several prominent political and business leaders, including former Prime Minister Shinzo Abe.
  • C. Showa University
    Showa University is a private Japanese university known for its strong focus on medical and health sciences education and research.
  • D. Setsunan University
    Setsunan University is a private Japanese university located in Osaka Prefecture, known for its programs in engineering, pharmacy, and law.
  • E. Ritsumeikan University
    Ritsumeikan University is a prominent private research university in Japan known for its comprehensive academic programs and strong international focus.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769cd39e081908624c8471b9131a1 completed March 28, 2026, 5:40 a.m.
Created at: March 8, 2026, 3:19 p.m.