Triple
T17871490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givlaari |
E446846
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | RNA interference-based therapy |
C39233
|
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: RNA interference-based therapy Context triple: [Givlaari, instanceOf, RNA interference-based therapy]
-
A.
AAV9-based gene therapy
AAV9-based gene therapy is a treatment approach that uses adeno-associated virus serotype 9 vectors to deliver therapeutic genes into patient cells, often targeting the central nervous system, muscle, or other tissues for long-term expression.
-
B.
antisense oligonucleotide
An antisense oligonucleotide is a short, synthetic strand of nucleic acid designed to bind specifically to a target RNA sequence and modulate its function, typically to alter gene expression for therapeutic purposes.
-
C.
RNA-binding protein
An RNA-binding protein is a molecule, typically a protein, that specifically recognizes and binds RNA to regulate its processing, localization, stability, and translation within the cell.
-
D.
Ebola virus disease treatment
Ebola virus disease treatment encompasses the medical interventions, supportive care, and infection control measures used to manage symptoms, reduce mortality, and prevent transmission of the Ebola virus in infected individuals.
-
E.
genome editing technology
Genome editing technology encompasses a set of molecular tools and methods, such as CRISPR-Cas systems, that enable precise, targeted modifications to an organism’s DNA sequence for research, therapeutic, agricultural, or industrial purposes.
- F. None of above. chosen
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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:18 a.m.