Triple
T3507172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNIST |
E74103
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | benchmark dataset |
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: benchmark dataset Context triple: [MNIST, instanceOf, benchmark dataset]
-
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.
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.
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.
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.
-
E.
open data platform
An open data platform is a system that collects, manages, and publishes structured datasets with standardized formats and open access policies, enabling users to discover, download, and reuse data freely.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
Created at: March 8, 2026, 3:18 p.m.