Triple
T5570885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DUCET |
E146196
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | reference data set |
C13913
|
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: reference data set Context triple: [DUCET, instanceOf, reference data set]
-
A.
bibliographic authority data set
A bibliographic authority data set is a structured collection of standardized records that uniquely identify and describe entities (such as persons, organizations, works, and subjects) used to control and link names and headings in bibliographic and library catalogs.
-
B.
benchmark dataset
chosen
A benchmark dataset is a standardized collection of data designed to objectively evaluate, compare, and validate the performance of algorithms, models, or systems on specific tasks.
-
C.
policy-relevant data compendium
A policy-relevant data compendium is a curated, structured collection of datasets and indicators organized to inform, support, and evaluate public policy decisions on specific issues or sectors.
-
D.
reference corpus
A reference corpus is a large, structured collection of texts compiled to represent a particular language, genre, or domain, used as an authoritative basis for linguistic analysis, comparison, and research.
-
E.
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.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
Created at: March 22, 2026, 3:37 p.m.