Triple
T16940598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabirian corpus |
E410939
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Arabic text 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: Arabic text corpus Context triple: [Jabirian corpus, instanceOf, Arabic text corpus]
-
A.
classical Arabic text
A classical Arabic text is a written work composed in the formal, literary variety of Arabic used from the early Islamic period through the medieval era, characterized by rich rhetoric, precise grammar, and adherence to traditional stylistic norms.
-
B.
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.
-
C.
Arabic-language work
An Arabic-language work is any creative, scholarly, or informational piece whose primary language of expression is Arabic, regardless of its medium or place of origin.
-
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.
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.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:31 a.m.