Triple
T17333108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingiseppsky District |
E420863
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | administrative district of Russia |
C15426
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: administrative district of Russia Context triple: [Kingiseppsky District, instanceOf, administrative district of Russia]
-
A.
district of Russia
chosen
A district of Russia is an administrative subdivision within a federal subject that manages local governance, public services, and regional implementation of national laws for its constituent settlements.
-
B.
autonomous okrug of Russia
An autonomous okrug of Russia is a type of federal subject with a degree of self-governance, typically established in areas with significant indigenous or ethnic minority populations and often administratively associated with a larger region or krai.
-
C.
federal subject of Russia
A federal subject of Russia is a top-level administrative and political division of the Russian Federation, such as an oblast, republic, krai, autonomous okrug, federal city, or autonomous oblast, each with its own degree of autonomy and representation in federal institutions.
-
D.
федеральный округ России
Федеральный округ России — это укрупнённая административно-территориальная единица, объединяющая несколько субъектов Российской Федерации для обеспечения эффективного федерального управления и координации деятельности органов власти.
-
E.
district of Saint Petersburg
A district of Saint Petersburg is an administrative territorial unit within the city that serves as a local level of government and organization for municipal services, population, and infrastructure.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:43 a.m.