Triple
T15803714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glosas Silenses |
E383159
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Old Spanish text |
C28472
|
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: Old Spanish text Context triple: [Glosas Silenses, instanceOf, Old Spanish text]
-
A.
Spanish-language text
A Spanish-language text is any written or printed material whose primary language of communication is Spanish, encompassing its vocabulary, grammar, and cultural expressions.
-
B.
Spanish historical document
A Spanish historical document is an original or reproduced written, printed, or visual record created in or about Spain’s past, providing evidence of historical events, practices, or perspectives.
-
C.
Galician-Portuguese literature
chosen
Galician-Portuguese literature is the body of medieval poetic and prose works composed in the Galician-Portuguese language, especially noted for its lyric poetry (cantigas) that flourished in the Iberian courts between the 12th and 14th centuries.
-
D.
Astur-Leonese language
The Astur-Leonese language is a Romance language continuum spoken primarily in Asturias, León, and surrounding regions of northwestern Spain, characterized by its own distinct phonological, lexical, and grammatical features separate from Spanish and Galician-Portuguese.
-
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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:48 a.m.