Triple

T1559474
Position Surface form Disambiguated ID Type / Status
Subject Kuzma Derevyanko E33285 entity
Predicate placeOfDeath P21 FINISHED
Object Moscow, Soviet Union E1747 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: Moscow, Soviet Union | Statement: [Kuzma Derevyanko, placeOfDeath, Moscow, Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow, Soviet Union
Context triple: [Kuzma Derevyanko, placeOfDeath, Moscow, Soviet Union]
  • A. Sverdlovsk, Soviet Union
    Sverdlovsk, Soviet Union was a major industrial city in the Ural region of Russia, historically known as a key military and manufacturing center during the Soviet era.
  • B. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • D. Leningrad, Russian SFSR, Soviet Union
    Leningrad, Russian SFSR, Soviet Union was the Soviet-era name for the historic Russian city now known as Saint Petersburg, a major cultural and industrial center.
  • E. Sofya
    Sofya is the Russian given name of Sophia Tolstaya, the wife and muse of novelist Leo Tolstoy.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621102cc81909c5b777a105fc91c completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4691cf5081909768f619b7a8a940 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.