Triple
T19773471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StaR technology |
E474947
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | drug discovery platform |
C32816
|
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: drug discovery platform Context triple: [StaR technology, instanceOf, drug discovery platform]
-
A.
drug discovery company
A drug discovery company is an organization that identifies, designs, and develops new therapeutic compounds to treat diseases, often progressing candidates from early research through preclinical and clinical testing.
-
B.
drug development program
A drug development program is a structured, multi-phase process that discovers, tests, and advances a potential therapeutic compound from initial concept through clinical evaluation and regulatory approval for patient use.
-
C.
drug development support program
A drug development support program is a structured set of services, resources, and guidance designed to assist researchers and companies in efficiently advancing drug candidates from discovery through preclinical and clinical development to regulatory approval.
-
D.
drug target
A drug target is a specific molecule, usually a protein or nucleic acid, whose activity can be modulated by a drug to produce a desired therapeutic effect.
-
E.
life sciences intelligence platform
chosen
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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:48 p.m.