Triple
T27055707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Bioinformatics Institute |
E684891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | life sciences data center |
C24488
|
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 data center Context triple: [European Bioinformatics Institute, instanceOf, life sciences data center]
-
A.
life sciences intelligence platform
A life sciences intelligence platform is a unified system that aggregates, analyzes, and visualizes scientific, clinical, and commercial data to support evidence-based decision-making across drug discovery, development, and commercialization.
-
B.
life sciences cluster
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.
-
C.
biological database
chosen
A biological database is an organized, searchable repository that stores, manages, and provides access to biological information such as sequences, structures, functions, and interactions of biomolecules and organisms.
-
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.
systems biology research center
A systems biology research center is an interdisciplinary institution that integrates experimental biology, computational modeling, and high-throughput data analysis to understand complex biological systems as interacting networks rather than isolated components.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
Created at: April 27, 2026, 8:17 a.m.