Triple
T17377622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horizon Discovery |
E422481
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | gene editing company |
C29133
|
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: gene editing company Context triple: [Horizon Discovery, instanceOf, gene editing company]
-
A.
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.
-
B.
DNA sequencing company
A DNA sequencing company provides services and technologies that determine the precise order of nucleotides in DNA samples for research, clinical, and commercial applications.
-
C.
biopharmaceutical technology company
chosen
A biopharmaceutical technology company is an organization that integrates advanced biological research and cutting-edge technological platforms to discover, develop, and manufacture innovative therapeutic products and drug delivery solutions.
-
D.
direct-to-consumer DNA testing company
A direct-to-consumer DNA testing company provides genetic testing services directly to individuals, typically via mail-in saliva kits, and delivers personalized reports on ancestry, health risks, traits, or wellness without requiring a healthcare provider intermediary.
-
E.
genetic engineer
A genetic engineer is a professional who manipulates and modifies the genetic material of organisms using biotechnological tools to study gene function or develop new traits and applications.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:45 a.m.