Triple
T15564168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Nanopore Technologies |
E371073
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | sequencing technology company |
C13402
|
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: sequencing technology company Context triple: [Oxford Nanopore Technologies, instanceOf, sequencing technology company]
-
A.
DNA sequencing company
chosen
A DNA sequencing company provides services and technologies that determine the precise order of nucleotides in DNA samples for research, clinical, and commercial applications.
-
B.
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.
-
C.
biopharmaceutical technology company
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.
healthcare technology company
A healthcare technology company develops and delivers digital tools, platforms, and data-driven solutions that improve the efficiency, quality, and accessibility of medical care and health management.
-
E.
Data and AI company
A Data and AI company specializes in collecting, managing, and analyzing data to build intelligent systems and solutions that automate decisions, generate insights, and create predictive or generative capabilities for businesses.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:10 a.m.