Triple
T34694152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navajo-Apachean |
E890978
|
entity |
| Predicate | includesLanguageVarietyType |
—
|
GENERATED |
| Object | tonal languages |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLanguageVarietyType Context triple: [Navajo-Apachean, includesLanguageVarietyType, tonal languages]
-
A.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
B.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
-
C.
denotesLanguageVariety
Indicates that one entity specifies the particular variety, dialect, or form of language used or associated with another entity.
-
D.
includesLanguage
Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
-
E.
languageVariants
Indicates that one language form is a variant or alternative version of another language.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.