Triple
T23466695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxonomy Browser |
E569118
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | NCBI web application |
C19920
|
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: NCBI web application Context triple: [Taxonomy Browser, instanceOf, NCBI web application]
-
A.
biological database search system
chosen
A biological database search system is a software tool that enables users to efficiently query, retrieve, and analyze biological data (such as sequences, structures, and annotations) from one or more integrated databases.
-
B.
biological database
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.
-
C.
NCATS program
The NCATS program is a translational science initiative focused on developing innovative tools, methods, and partnerships to accelerate the process of turning basic research discoveries into effective diagnostics, treatments, and cures for human diseases.
-
D.
bioinformatics program
A bioinformatics program is a software application designed to analyze, interpret, and manage biological data, such as DNA, RNA, and protein sequences, using computational and statistical methods.
-
E.
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.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 5:54 p.m.