Triple

T20303138
Position Surface form Disambiguated ID Type / Status
Subject Kuznetsovo E505535 entity
Predicate partOf P40 FINISHED
Object Belogorsk urban area 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: Belogorsk urban area | Statement: [Kuznetsovo, partOf, Belogorsk urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belogorsk urban area
Context triple: [Kuznetsovo, partOf, Belogorsk urban area]
  • A. Vsevolozhsk urban area
    Vsevolozhsk urban area is a suburban municipal locality and residential-industrial hub situated near Saint Petersburg in northwestern Russia.
  • B. Voskresensk Urban Settlement
    Voskresensk Urban Settlement is a municipal formation in Russia that administers the town of Voskresensk and possibly surrounding localities within its jurisdiction.
  • C. Belogorsk chosen
    Belogorsk is a city in Russia’s Far East that serves as an important regional center within Amur Oblast.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Votkinsk Urban Okrug
    Votkinsk Urban Okrug is a municipal formation in Udmurtia, Russia, that encompasses the city of Votkinsk and its surrounding territory as a single urban administrative unit.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773e0864819095d272659cd2074d completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.