Triple
T4773629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BioQuarter |
E105990
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | life sciences innovation district |
C15368
|
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: life sciences innovation district Context triple: [BioQuarter, instanceOf, life sciences innovation district]
-
A.
life sciences cluster
chosen
A life sciences cluster is a geographically concentrated network of research institutions, companies, and support organizations focused on biotechnology, pharmaceuticals, medical devices, and related health and biological sciences, fostering innovation, collaboration, and economic growth.
-
B.
innovation campus
An innovation campus is a purpose-built environment that co-locates research, education, startups, and industry partners to foster collaboration, experimentation, and the commercialization of new ideas.
-
C.
innovation and entrepreneurship space
A dynamic, collaborative environment that provides resources, mentorship, and networking opportunities to help individuals and teams develop, test, and launch innovative ideas and entrepreneurial ventures.
-
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.
Knowledge and Innovation Community
A Knowledge and Innovation Community is an ecosystem that brings together academic, industrial, and entrepreneurial actors to collaboratively generate, share, and apply knowledge for innovative solutions and sustainable economic and social impact.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:21 p.m.