Triple
T15982967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H3 Biomedicine |
E387619
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cancer drug development company |
C16501
|
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: cancer drug development company Context triple: [H3 Biomedicine, instanceOf, cancer drug development company]
-
A.
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.
-
B.
drug discovery company
chosen
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.
-
C.
cancer research agency
A cancer research agency is an organization dedicated to studying the causes, prevention, diagnosis, and treatment of cancer, often coordinating scientific research, clinical trials, and public health initiatives.
-
D.
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.
-
E.
cancer research program
A cancer research program is an organized, multidisciplinary initiative focused on studying the causes, mechanisms, prevention, diagnosis, and treatment of cancer to improve patient outcomes and advance scientific knowledge.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:54 a.m.