Triple
T23346146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Occupational and Environmental Health, Japan |
E591870
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | School of Medicine |
—
|
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: School of Medicine | Statement: [University of Occupational and Environmental Health, Japan, hasFaculty, School of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Medicine Context triple: [University of Occupational and Environmental Health, Japan, hasFaculty, School of Medicine]
-
A.
School of Medicine
The School of Medicine is the medical education and research institution of West Virginia University, training physicians and other health professionals while advancing biomedical science and healthcare in the region.
-
B.
School of Medicine
The School of Medicine at Nagoya City University is a medical faculty that provides education and conducts research in clinical and biomedical sciences, training future physicians and healthcare professionals.
-
C.
School of Medicine
The School of Medicine at Shenzhen University is a medical education and research institution training healthcare professionals and conducting biomedical research in Shenzhen, China.
-
D.
School of Medicine
The School of Medicine is a medical education and research institution that trains future physicians and conducts biomedical studies within SCUT.
-
E.
School of Medicine
The School of Medicine is the medical education and research institution of the University of Kansas, training physicians and advancing healthcare through clinical and biomedical scholarship.
- 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: School of Medicine Target entity description: The School of Medicine is the medical faculty of the University of Occupational and Environmental Health in Japan, specializing in training physicians and conducting research focused on occupational and environmental health.
-
A.
School of Medicine
The School of Medicine at Keio University is a leading Japanese medical faculty known for its research-intensive programs and training of physicians and medical scientists.
-
B.
School of Medicine
The School of Medicine at Nagasaki University is a medical education and research institution in Japan known for training physicians and advancing medical science and healthcare.
-
C.
School of Medicine
The School of Medicine is the primary academic unit within the Faculty of Medical and Health Sciences responsible for educating future doctors and advancing medical research and clinical practice.
-
D.
School of Medicine
The School of Medicine at Showa University is a Japanese medical faculty that educates and trains future physicians and medical researchers within the university’s healthcare and clinical network.
-
E.
School of Medicine
The School of Medicine at Nagoya University is a major Japanese medical faculty known for training physicians and conducting advanced biomedical and clinical research.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19837874481908f1a530261a34819 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.