Triple

T19806931
Position Surface form Disambiguated ID Type / Status
Subject Kirov Oblast E475836 entity
Predicate hasCity P316 FINISHED
Object Vyatskiye Polyany 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: Vyatskiye Polyany | Statement: [Kirov Oblast, hasCity, Vyatskiye Polyany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyatskiye Polyany
Context triple: [Kirov Oblast, hasCity, Vyatskiye Polyany]
  • A. Vyatskiye Polyany chosen
    Vyatskiye Polyany is a town in Kirov Oblast, Russia, known historically as an industrial center and river port.
  • B. Yazhelbitsy
    Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
  • C. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • D. Rybatskoye
    Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • E. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.