Triple
T33488550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radical Party of Switzerland |
E857677
|
entity |
| Predicate | languageRegionActivity |
P29819
|
FINISHED |
| Object | German-speaking Switzerland |
—
|
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: German-speaking Switzerland | Statement: [Radical Party of Switzerland, languageRegionActivity, German-speaking Switzerland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRegionActivity Context triple: [Radical Party of Switzerland, languageRegionActivity, German-speaking Switzerland]
-
A.
languageRegionFocus
Indicates that something (such as a work, resource, or activity) is primarily concerned with or targeted toward a specific geographic region in terms of language use or linguistic focus.
-
B.
languageArea
chosen
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
C.
operatorLanguageRegion
Indicates the geographic region or locale in which an operator’s language is used or applicable.
-
D.
languageRegionsRepresented
Indicates that certain geographic or cultural regions are represented or covered through specific languages.
-
E.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a002103c93081908398fa5726f5fa6e |
completed | May 10, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_6a001fcb9fb48190a27d8f2ca983fbe6 |
completed | May 10, 2026, 6:03 a.m. |
Created at: May 1, 2026, 1:38 a.m.