Triple
T4464407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Dentistry, Osaka University |
E98339
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | faculty of Osaka University |
C1010
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: faculty of Osaka University Context triple: [School of Dentistry, Osaka University, instanceOf, faculty of Osaka University]
-
A.
Nagoya University campus
Nagoya University campus is a sprawling, research-focused academic environment in Nagoya, Japan, featuring modern facilities, green spaces, and a blend of traditional and contemporary architecture that supports education, innovation, and student life.
-
B.
Tohoku University campus
Tohoku University campus is a sprawling, research-focused academic environment in Sendai, Japan, blending modern laboratories and facilities with green spaces and traditional architecture to support education, innovation, and student life.
-
C.
university faculty
chosen
A university faculty is a group of academic staff and scholars within a higher education institution responsible for teaching, research, and academic governance in specific disciplines or departments.
-
D.
University of Tokyo alumna
A University of Tokyo alumna is a woman who has successfully completed a degree or formal program of study at the University of Tokyo.
-
E.
college of the University of Toronto
A college of the University of Toronto is a semi-autonomous academic and social community within the university that provides students with residence options, advising, programming, and a distinct intellectual and cultural environment.
- F. None of above.
Provenance (1 batch)
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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:34 p.m.