Triple
T12127520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anam Campus |
E288846
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Korea University campus |
C30962
|
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: Korea University campus Context triple: [Anam Campus, instanceOf, Korea University campus]
-
A.
Kindai University campus
Kindai University campus is a modern, expansive academic environment in Japan that integrates advanced educational facilities, research centers, and student amenities within a vibrant, community-oriented setting.
-
B.
Waseda University campus
Waseda University campus is an expansive urban academic environment in Tokyo that blends historic red-brick buildings, modern research facilities, and vibrant student spaces into a lively hub of education and culture.
-
C.
Nankai University campus
Nankai University campus is a sprawling, tree-lined academic environment that blends historic red-brick architecture with modern facilities, fostering scholarly life and vibrant student culture in Tianjin, China.
-
D.
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.
-
E.
Osaka University campus
Osaka University campus is a large, multi-campus academic environment in Osaka, Japan, featuring modern research facilities, lecture halls, libraries, student housing, and green spaces that support education, innovation, and student life.
- F. None of above. chosen
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:49 p.m.