Triple
T36489638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMT English-French dataset |
E899019
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | English–French 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: English–French corpus Context triple: [WMT English-French dataset, instanceOf, English–French 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.
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.
-
C.
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.
-
D.
bibliographical corpus
A bibliographical corpus is a structured collection of bibliographic records or references, typically compiled for systematic analysis, cataloging, or research on published works.
-
E.
documentation corpus
A documentation corpus is a structured collection of written materials, such as manuals, guides, and reference texts, compiled to provide comprehensive information and support for a specific domain, product, or system.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.