Triple
T8477192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiading Campus |
E200424
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tongji University campus |
C24471
|
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: Tongji University campus Context triple: [Jiading Campus, instanceOf, Tongji University campus]
-
A.
Shenzhen University campus
Shenzhen University campus is a modern, green, and coastal urban campus in Shenzhen, China, known for its innovative architecture, lush landscapes, and integration with the surrounding tech-driven city.
-
B.
college of Tsinghua University
A college of Tsinghua University is an academic unit within the university that organizes related disciplines, manages faculty and students, and oversees teaching, research, and degree programs in its specialized fields.
-
C.
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.
-
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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:12 p.m.