Triple
T6051256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDR |
E134798
|
entity |
| Predicate | Amtssprache |
P50752
|
FINISHED |
| Object | Deutsch |
—
|
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: Deutsch | Statement: [DDR, Amtssprache, Deutsch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Amtssprache Context triple: [DDR, Amtssprache, Deutsch]
-
A.
governingLanguage
chosen
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
-
B.
majorDialectOf
Indicates that one dialect is the primary or most prominent dialect associated with a particular language or region.
-
C.
languageOnAustrianSide
Indicates that a particular language is used or present on the Austrian side of a border, context, or interaction.
-
D.
isScheduledLanguageOf
Indicates that a particular language is officially planned or designated to be used for a specific event, program, or context.
-
E.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f66cb08190a782cdd038f26b93 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.