Triple

T18131171
Position Surface form Disambiguated ID Type / Status
Subject Vsevolozhsky District E434013 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Vsevolozhsk NE NERFINISHED

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: Vsevolozhsk | Statement: [Vsevolozhsky District, hasAdministrativeCenter, Vsevolozhsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vsevolozhsk
Context triple: [Vsevolozhsky District, hasAdministrativeCenter, Vsevolozhsk]
  • A. Vsevolozhsk chosen
    Vsevolozhsk is a town in northwestern Russia that serves as an important suburban and administrative center near Saint Petersburg.
  • B. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • C. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • D. Yaroslavl
    Yaroslavl is a historic city in central Russia, located on the Volga River and known as one of the Golden Ring cities famed for its well-preserved medieval architecture and cultural heritage.
  • E. Volzhsk
    Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf1e2508190993f65ca137fdf63 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.