Triple
T29107221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneDep |
E736792
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | deposition and annotation system |
C16462
|
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: deposition and annotation system Context triple: [OneDep, instanceOf, deposition and annotation system]
-
A.
metadata annotation mechanism
A metadata annotation mechanism is a system or feature that allows attaching structured, descriptive information to data, code, or resources to enable enhanced interpretation, processing, and tooling support.
-
B.
web annotation service
chosen
A web annotation service is a system that allows users to create, share, and manage comments, highlights, and notes directly on web pages or online documents, often collaboratively and in real time.
-
C.
organological classification system
An organological classification system is a structured method for categorizing musical instruments based on their sound-producing mechanisms, construction, and playing techniques.
-
D.
Ontology-Based Data Access system
An Ontology-Based Data Access system is a framework that uses a formal ontology to provide a unified, semantic view over heterogeneous data sources, enabling users to query data at a conceptual level without needing to know the underlying schemas or storage details.
-
E.
sentient data repository
A sentient data repository is an intelligent, self-aware information store that can autonomously analyze, organize, and communicate its contents while adapting to users’ needs and contextual changes.
- 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.