Triple
T2055993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prasun language |
E45675
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Nuristani language |
C7742
|
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: Nuristani language Context triple: [Prasun language, instanceOf, Nuristani language]
-
A.
Oghuz language
The Oghuz language is a member of the Oghuz branch of the Turkic language family, historically spoken by the Oghuz Turks and forming the basis of several modern languages such as Turkish, Azerbaijani, and Turkmen.
-
B.
Tai language
A Tai language is a member of the Tai branch of the Kra–Dai language family, characterized by tonal phonology and analytic grammar, spoken primarily in Southeast Asia by Tai ethnic groups.
-
C.
Turkic language
A Turkic language is a member of a family of closely related languages spoken across a vast area from Eastern Europe and Anatolia through Central Asia to Siberia and Western China, characterized by agglutinative morphology, vowel harmony, and similar grammatical structures.
-
D.
Inuit language
Inuit language is a group of closely related Indigenous languages spoken across the Arctic regions of Alaska, Canada, and Greenland, characterized by polysynthetic word formation and rich expression of environmental and cultural concepts.
-
E.
Alpine language
Alpine language is a conceptual class representing any linguistic system that has evolved within or is predominantly used in mountainous Alpine regions, shaped by their geography, culture, and historical isolation.
- F. None of above. chosen
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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
Created at: March 4, 2026, 7:40 p.m.