Triple
T11507721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsinghua-Berkeley Shenzhen Institute |
E272829
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | joint research and education institute |
C11708
|
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: joint research and education institute Context triple: [Tsinghua-Berkeley Shenzhen Institute, instanceOf, joint research and education institute]
-
A.
joint institute
chosen
A joint institute is an educational or research organization formed through a formal partnership between two or more institutions, typically across regions or countries, to collaboratively share resources, expertise, and programs.
-
B.
public research institution
A public research institution is a government-funded organization dedicated to advancing knowledge and innovation through systematic investigation, experimentation, and dissemination of findings for the benefit of society.
-
C.
university institute
A university institute is an organizational unit within a university that focuses on specialized research, education, and collaboration in a particular academic or interdisciplinary field.
-
D.
graduate research institute
A graduate research institute is an advanced academic organization dedicated to conducting specialized research and offering postgraduate education and training in focused fields of study.
-
E.
multi-campus research organization
A multi-campus research organization is an institution that coordinates and conducts collaborative research across multiple geographically distinct campuses, sharing resources, expertise, and infrastructure under a unified governance structure.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:36 p.m.