Triple
T32704232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WELT-Literaturpreis |
E836228
|
entity |
| Predicate | typicalAwardedWorkLanguage |
—
|
GENERATED |
| Object | various 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: typicalAwardedWorkLanguage Context triple: [WELT-Literaturpreis, typicalAwardedWorkLanguage, various languages]
-
A.
hasAwardedWorkLanguage
Indicates the language in which an awarded work (such as a prize-winning book, film, or other creation) is expressed.
-
B.
originalLanguageOfWinningWorks
chosen
Indicates the language in which the works that won an award or competition were originally created or written.
-
C.
languageOfFeaturedWork
Indicates the language in which the featured work is expressed or presented.
-
D.
languageOfTranslatedWorks
Indicates the language into which works have been translated.
-
E.
typicalAwardedWorkForm
Indicates the usual or standard form in which a work is granted or awarded (e.g., as a prize, grant, or recognition).
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.