Triple
T9930883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou North Campus |
E192644
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sun Yat-sen University campus |
C23686
|
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: Sun Yat-sen University campus Context triple: [Guangzhou North Campus, instanceOf, Sun Yat-sen University campus]
-
A.
campus of Sun Yat-sen University
chosen
The campus of Sun Yat-sen University is a comprehensive educational environment encompassing academic buildings, research facilities, student residences, green spaces, and supporting infrastructure that together support the university’s teaching, research, and campus life.
-
B.
Fudan University campus
Fudan University campus is a historic and vibrant academic environment in Shanghai, featuring a blend of traditional and modern architecture, lush green spaces, and comprehensive facilities that support education, research, and student life.
-
C.
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.
-
D.
Tongji University campus
Tongji University campus is a comprehensive academic environment featuring modern and historic architecture, extensive green spaces, and specialized facilities that support education, research, and student life.
-
E.
East China Normal University campus
East China Normal University campus is a sprawling, tree-lined academic environment that blends historic and modern architecture with gardens, waterways, and vibrant student life in the heart of Shanghai.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 8:43 p.m.