Triple
T35439012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wabag |
E1024289
|
entity |
| Predicate | hasProvincialLanguage |
—
|
GENERATED |
| Object | Enga language |
—
|
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: hasProvincialLanguage Context triple: [Wabag, hasProvincialLanguage, Enga language]
-
A.
hasRepresentativeLanguage
Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
-
B.
hasOfficialLanguageOfLocation
chosen
Indicates that a location has a specified language recognized as its official language.
-
C.
hasLanguageOfSurroundingCountries
Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
-
D.
hasOfficialLanguageOfSurroundingCountry
Indicates that an entity uses as its official language the same language that is official in the country surrounding it.
-
E.
hasLanguageOfWiderRegion
Indicates that an entity uses a language that serves as a more widely used or regionally dominant language beyond its immediate local context.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.