Triple

T18983561
Position Surface form Disambiguated ID Type / Status
Subject Fukushima E464492 entity
Predicate hasUniversity P113 FINISHED
Object Fukushima Medical University NE NERFINISHED

How this triple was built (3 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: Fukushima Medical University | Statement: [Fukushima, hasUniversity, Fukushima Medical University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukushima Medical University
Context triple: [Fukushima, hasUniversity, Fukushima Medical University]
  • A. Fukushima University
    Fukushima University is a national public university in Fukushima Prefecture, Japan, known for its programs in education, economics, and humanities and its role in regional research and reconstruction efforts.
  • B. Tohoku University School of Medicine
    Tohoku University School of Medicine is a leading Japanese medical school and research institution known for its advanced clinical training and contributions to biomedical science.
  • C. Juntendo University
    Juntendo University is a prominent private medical and health sciences university in Tokyo, Japan, known for its long history and affiliated hospitals.
  • D. Nagasaki University School of Medicine
    Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fukushima Medical University
Target entity description: Fukushima Medical University is a public medical school and research institution in Fukushima Prefecture, Japan, known for its education in medicine and its research on radiation health and disaster medicine.
  • A. Fukushima University
    Fukushima University is a national public university in Fukushima Prefecture, Japan, known for its programs in education, economics, and humanities and its role in regional research and reconstruction efforts.
  • B. Tohoku University School of Medicine
    Tohoku University School of Medicine is a leading Japanese medical school and research institution known for its advanced clinical training and contributions to biomedical science.
  • C. Juntendo University
    Juntendo University is a prominent private medical and health sciences university in Tokyo, Japan, known for its long history and affiliated hospitals.
  • D. Nagasaki University School of Medicine
    Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
  • E. 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.
  • F. None of above. chosen

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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65de6288190a53a3fdd59013d2d completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.