Triple
T19482971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerland biotechnology district |
E487438
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biotechnology 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: biotechnology district Context triple: [Gerland biotechnology district, instanceOf, biotechnology district]
-
A.
biotechnology
Biotechnology is the application of biological systems, organisms, or derivatives to develop or modify products and processes for specific practical uses in medicine, agriculture, industry, and environmental management.
-
B.
industrial district
An industrial district is a designated urban or regional area characterized by a high concentration of manufacturing, warehousing, and related industrial activities supported by specialized infrastructure and services.
-
C.
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.
-
D.
bioscience research center
A bioscience research center is a specialized facility where scientists conduct experimental and computational studies on living systems to advance knowledge and develop applications in health, agriculture, and biotechnology.
-
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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:39 p.m.