Triple
T16964336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tulu-language media |
C36249
|
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: Tulu-language media Context triple: [Tulu cinema, instanceOf, Tulu-language media]
-
A.
minority language media
chosen
Minority language media comprises communication outlets—such as television, radio, print, and digital platforms—that produce and disseminate content primarily in languages spoken by numerically or politically marginalized communities, supporting their cultural preservation, visibility, and linguistic rights.
-
B.
Tibetan-language media outlet
A Tibetan-language media outlet is an organization that produces and distributes news, information, and cultural content primarily in the Tibetan language across platforms such as print, broadcast, and digital media.
-
C.
Korean-language media outlet
A Korean-language media outlet is an organization that produces and distributes news, information, and entertainment content primarily in the Korean language through platforms such as print, broadcast, and digital media.
-
D.
Kannada-language writer
A Kannada-language writer is an author who primarily composes literary or non-literary works in the Kannada language, contributing to its literature, culture, and intellectual discourse.
-
E.
Pulaar dialect
The Pulaar dialect is a regional variety of the Fula language spoken primarily by the Fula people in parts of West Africa, characterized by distinct phonological, lexical, and grammatical features.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:31 a.m.