Triple
T37922073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsches Referenzkorpus |
E945989
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | German language corpus |
C15286
|
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: German language corpus Context triple: [Deutsches Referenzkorpus, instanceOf, German language corpus]
-
A.
linguistic corpus
chosen
A linguistic corpus is a large, structured collection of authentic texts or transcribed speech used for analyzing language patterns, usage, and structure.
-
B.
Spanish language corpus
A Spanish language corpus is a structured, large-scale collection of Spanish texts (written and/or spoken) compiled to support linguistic analysis, language research, and natural language processing applications.
-
C.
German-language work
A German-language work is any creative or scholarly piece—such as a book, article, film, or musical composition—primarily produced or presented in the German language.
-
D.
linguistic archive
A linguistic archive is a curated, long-term repository that collects, preserves, and provides access to language data and related documentation in various formats for research, revitalization, and educational purposes.
-
E.
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.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.