Triple

T20303140
Position Surface form Disambiguated ID Type / Status
Subject Kuznetsovo E505535 entity
Predicate usedAsNameFor P2506 FINISHED
Object town of Belogorsk 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: town of Belogorsk | Statement: [Kuznetsovo, usedAsNameFor, town of Belogorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Belogorsk
Context triple: [Kuznetsovo, usedAsNameFor, town of Belogorsk]
  • A. Belogorsk chosen
    Belogorsk is a city in Russia’s Far East that serves as an important regional center within Amur Oblast.
  • B. town of Opochka
    The town of Opochka is a historic settlement in Pskov Oblast, Russia, known for its origins as a medieval fortress and its role as a local cultural and economic center.
  • C. Feodorovsky Gorodok
    Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
  • D. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • E. Khotkovo
    Khotkovo is a small Russian town in Moscow Oblast known for its historical churches and proximity to the famous Trinity Lavra of St. Sergius.
  • 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.