Triple
T29083355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xhosa (Wakandan language in MCU) |
E734037
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | constructed language use in film |
C33068
|
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: constructed language use in film Context triple: [Xhosa (Wakandan language in MCU), instanceOf, constructed language use in film]
-
A.
cinematic adaptation of a language
A cinematic adaptation of a language is a filmic representation that translates the structures, rhythms, and expressive nuances of a spoken or written language into visual, auditory, and narrative forms.
-
B.
constructed language in fiction
chosen
A constructed language in fiction is a deliberately invented linguistic system, complete with its own rules and vocabulary, created to enrich a fictional world’s culture, realism, and depth.
-
C.
constructed in-vivo language
A constructed in-vivo language is an intentionally designed linguistic system that is developed and evolves within a living community of users rather than remaining a purely theoretical or artificial construct.
-
D.
linguistic law
A linguistic law is a systematic, recurrent pattern or regularity governing changes or structures in language across time, dialects, or contexts.
-
E.
cultural-linguistic complex
A cultural-linguistic complex is an interconnected system in which a community’s language, symbolic practices, and shared meanings mutually shape and reinforce its cultural identity and social organization.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 10:57 a.m.