Triple
T20670123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSNN |
E507998
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nanoscience institute |
C17204
|
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: nanoscience institute Context triple: [JSNN, instanceOf, nanoscience institute]
-
A.
materials science institute
A materials science institute is a research and educational organization dedicated to studying, developing, and applying materials and their properties to advance technology and industry.
-
B.
Kavli Institute
chosen
The Kavli Institute is a research organization dedicated to advancing fundamental scientific knowledge in fields such as astrophysics, nanoscience, neuroscience, and theoretical physics through collaborative, interdisciplinary inquiry.
-
C.
national science academy
A national science academy is a country’s leading independent body of distinguished scientists and researchers that promotes scientific excellence, advises government and society on science-related matters, and supports the advancement of research and education.
-
D.
neurosciences institute
A neurosciences institute is a specialized research and clinical organization dedicated to studying the nervous system, brain function, and related disorders to advance understanding, diagnosis, and treatment.
-
E.
science and business campus
A science and business campus is an integrated environment where research facilities, academic institutions, and commercial enterprises co-locate to foster innovation, collaboration, and the translation of scientific discoveries into marketable solutions.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:44 a.m.