Triple

T6506622
Position Surface form Disambiguated ID Type / Status
Subject El Lissitzky E150023 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: [El Lissitzky, placeOfDeath, Moscow, Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow, Soviet Union
Context triple: [El Lissitzky, 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6996818c881909d036f916da0efb5 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb4aa1708190aa58a5c40af56eb2 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.