Triple
T18301791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRAD |
E438374
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | library metadata model |
C18774
|
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: library metadata model Context triple: [FRAD, instanceOf, library metadata model]
-
A.
bibliographic data model
A bibliographic data model is a structured framework that defines how information about published and unpublished resources (such as books, articles, and digital media) is represented, organized, and related for purposes of description, discovery, and management.
-
B.
metadata standard
A metadata standard is a structured set of rules and definitions that specify how information about resources should be described, formatted, and shared to ensure consistency, interoperability, and discoverability.
-
C.
metadata service provider
A metadata service provider is a system or component that generates, manages, and supplies descriptive information about data or resources to enable their discovery, organization, and interoperability across applications.
-
D.
data model
chosen
A data model is an abstract, structured representation of data and its relationships, designed to organize, define, and constrain how information is stored, accessed, and manipulated within a system.
-
E.
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.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:35 a.m.