Triple
T7122409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Shonku series |
E165978
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bengali literature work |
C18850
|
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: Bengali literature work Context triple: [Professor Shonku series, instanceOf, Bengali literature work]
-
A.
Bengali-language writer
A Bengali-language writer is an author who primarily composes literary or non-fiction works in the Bengali language, contributing to its cultural, intellectual, and artistic traditions.
-
B.
Indian literature
chosen
Indian literature encompasses the diverse body of written and oral works produced in the many languages of the Indian subcontinent, reflecting its rich cultural, religious, and historical traditions from ancient times to the present.
-
C.
Punjabi literary classic
A Punjabi literary classic is a widely acclaimed and enduring work of Punjabi literature that exemplifies the language’s cultural, artistic, and historical richness across generations.
-
D.
regional variety of Bengali
A regional variety of Bengali is a localized form of the Bengali language characterized by distinct phonological, lexical, and sometimes grammatical features associated with a specific geographic area or speech community.
-
E.
Punjabi literature
Punjabi literature is the body of written and oral works produced in the Punjabi language, encompassing poetry, prose, folklore, and religious texts that reflect the cultural, social, and historical experiences of Punjabi-speaking communities.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
Created at: March 27, 2026, 2:44 p.m.