Triple
T38279963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ar-Rabitah al-Qalamiyah |
E1022056
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Mahjar literary movement |
C32500
|
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: Mahjar literary movement Context triple: [Ar-Rabitah al-Qalamiyah, instanceOf, Mahjar literary movement]
-
A.
Arabic literary movement
chosen
An Arabic literary movement is a collective trend or school of thought in Arabic literature characterized by shared aesthetic principles, themes, and stylistic innovations that emerge within a specific historical and cultural context.
-
B.
Bengali literary movement
A Bengali literary movement is a collective, often time-bound surge of creative and critical activity in Bengali language and literature, driven by shared aesthetic, social, or political ideals among writers and intellectuals.
-
C.
Kannada literary movement
A Kannada literary movement is a collective, period-specific trend in Kannada literature characterized by shared themes, styles, and ideological orientations among writers responding to their cultural, social, and historical contexts.
-
D.
Turkish literary movement
A Turkish literary movement is a historically and culturally defined trend in Turkish literature characterized by shared aesthetic principles, themes, and stylistic approaches among a group of writers and poets.
-
E.
Telugu literary movement
A Telugu literary movement is a collective, historically situated effort by writers, poets, and critics working in the Telugu language to transform literary themes, styles, and social engagement in response to changing cultural and political contexts.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.