Triple
T32704232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WELT-Literaturpreis |
E836228
|
entity |
| Predicate | typicalAwardedWorkLanguage |
P91020
|
FINISHED |
| Object | various languages |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: various languages | Statement: [WELT-Literaturpreis, typicalAwardedWorkLanguage, various languages]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:10 a.m.