Triple
T37505960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abyrx |
E932092
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biomaterials company |
C15339
|
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: biomaterials company Context triple: [Abyrx, instanceOf, biomaterials company]
-
A.
materials science company
chosen
A materials science company researches, develops, and commercializes advanced materials and related technologies to improve the performance, efficiency, and sustainability of products across various industries.
-
B.
medical device development company
A medical device development company is an organization that researches, designs, tests, and brings to market innovative healthcare technologies and instruments to diagnose, treat, or monitor medical conditions.
-
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.
agricultural biotechnology company
An agricultural biotechnology company is an organization that develops and applies biological technologies to improve crop yields, enhance resistance to pests and diseases, and increase the sustainability and efficiency of agricultural production.
-
E.
proteomics company
A proteomics company is an organization that develops and applies technologies to comprehensively study, measure, and interpret proteins and their functions to advance research, diagnostics, and therapeutics.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.