Triple
T15980974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UDC Master Reference File |
E387569
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | controlled vocabulary database |
C36782
|
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: controlled vocabulary database Context triple: [UDC Master Reference File, instanceOf, controlled vocabulary database]
-
A.
controlled vocabulary
A controlled vocabulary is a standardized, curated set of terms and phrases used consistently to describe and organize information, ensuring uniformity and improving search and retrieval.
-
B.
bibliographic database
A bibliographic database is a structured collection of references to published literature, such as books, articles, and reports, organized to support efficient search, retrieval, and management of bibliographic information.
-
C.
multilingual database
A multilingual database is a data storage system designed to store, manage, and retrieve information in multiple languages while preserving linguistic accuracy and supporting language-specific querying and processing.
-
D.
bibliometric database
A bibliometric database is a structured collection of publication and citation data used to analyze research output, impact, and scholarly networks.
-
E.
library cataloging standard
A library cataloging standard is a formal set of rules and guidelines that ensures consistent description, organization, and access to library materials across collections and systems.
- F. None of above. chosen
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.