Triple

T12085926
Position Surface form Disambiguated ID Type / Status
Subject Juntendo University E287805 entity
Predicate abbreviation P43 FINISHED
Object Juntendo E287805 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: Juntendo | Statement: [Juntendo University, abbreviation, Juntendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juntendo
Context triple: [Juntendo University, abbreviation, Juntendo]
  • A. Juntendo University chosen
    Juntendo University is a prominent private medical and health sciences university in Tokyo, Japan, known for its long history and affiliated hospitals.
  • B. Sendai Medical Academy
    Sendai Medical Academy was a Japanese medical school in Sendai where the influential Chinese writer Lu Xun studied medicine in the early 20th century.
  • C. Tokyo Medical School
    Tokyo Medical School was a prominent Japanese medical institution in Tokyo that trained many influential physicians and public health leaders in the late 19th and early 20th centuries.
  • D. Shiga University
    Shiga University is a national public university in Shiga Prefecture, Japan, known for its faculties of education and economics.
  • E. Jikei University School of Medicine
    Jikei University School of Medicine is a private medical school and university in Tokyo, Japan, known for its long history of medical education and affiliated teaching hospitals.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7e1ab481909c25ba3dd3fff9b3 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.