Triple
T29107222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneDep |
E736792
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | scientific data curation system |
C46406
|
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: scientific data curation system Context triple: [OneDep, instanceOf, scientific data curation system]
-
A.
scientific data archive
A scientific data archive is a structured repository that securely stores, preserves, and provides organized access to research data and associated metadata for long-term reuse and verification.
-
B.
scientific informatics platform
chosen
A scientific informatics platform is an integrated software environment that enables researchers to collect, manage, analyze, and share scientific data and workflows across experiments, instruments, and teams.
-
C.
scientific data product
A scientific data product is a processed, quality-controlled dataset or derived information package created from raw observations or experiments to support analysis, interpretation, and reuse in research.
-
D.
research data organization
Research data organization is the structured process of collecting, naming, storing, documenting, and managing research materials so they are consistent, findable, understandable, and reusable throughout the research lifecycle.
-
E.
scientific compendium
A scientific compendium is a comprehensive, systematically organized collection of scientific knowledge, data, and references on a particular field or range of topics, intended to serve as an authoritative resource for study and research.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 11:16 a.m.