Triple
T38561770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVG |
E928093
|
entity |
| Predicate | hasPrimaryLanguageOfServiceInformation |
—
|
GENERATED |
| Object | German |
—
|
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: hasPrimaryLanguageOfServiceInformation Context triple: [MVG, hasPrimaryLanguageOfServiceInformation, German]
-
A.
hasPrimaryLanguage1
Indicates that an entity’s main or most commonly used language is the specified language.
-
B.
hasPrimaryLanguageOfOperations
Indicates that an entity conducts its main activities or operations primarily using a specified language.
-
C.
hasOfficialLanguageOnServices
Indicates that a given entity provides its services using a specified official language.
-
D.
hasCustomerServiceLanguage
chosen
Indicates that an entity provides customer service in a specified language or set of languages.
-
E.
hasMajorityLanguageServices
Indicates that one language is used for the majority of services or service interactions within a given context or system.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.