Triple

T13266381
Position Surface form Disambiguated ID Type / Status
Subject Vyshnevolotsky District E315934 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Vyshny Volochyok E63408 NE 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: Vyshny Volochyok | Statement: [Vyshnevolotsky District, hasUrbanCenter, Vyshny Volochyok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyshny Volochyok
Context triple: [Vyshnevolotsky District, hasUrbanCenter, Vyshny Volochyok]
  • A. Vyshny Volochyok chosen
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Sorochyntsi
    Sorochyntsi is a village in central Ukraine best known as the birthplace of writer Nikolai Gogol and for its traditional fairs and cultural heritage.
  • D. Krymsky Val
    Krymsky Val is a notable street in central Moscow, Russia, known for its proximity to Gorky Park and several major cultural institutions.
  • E. Khreshchatyi Yar
    Khreshchatyi Yar is the historic ravine area in central Kyiv whose name gave rise to the city’s main thoroughfare, Khreshchatyk Street.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f1c2bac81909ac13624f7972919 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:25 p.m.