Triple
T2570386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Germans |
E57649
|
entity |
| Predicate | legalLanguageStatus |
P25828
|
FINISHED |
| Object | use Standard German as official written language |
—
|
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: use Standard German as official written language | Statement: [Swiss Germans, legalLanguageStatus, use Standard German as official written language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalLanguageStatus Context triple: [Swiss Germans, legalLanguageStatus, use Standard German as official written language]
-
A.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
B.
statusInEnglishLaw
Indicates the legal standing, classification, or condition of something as defined within the framework of English law.
-
C.
hasLanguageStatus
chosen
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
-
D.
officialLanguageStatusSharedWith
Indicates that two entities share at least one official language in common.
-
E.
legalProtectionOfLanguage
Indicates that a language is safeguarded or regulated by formal legal measures, such as laws, policies, or constitutional provisions.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd382928c8190b6316f3db48d8e73 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.