Triple

T20599132
Position Surface form Disambiguated ID Type / Status
Subject Yury Usachov E506126 entity
Predicate workLocation P7 FINISHED
Object Star City, Russia 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: Star City, Russia | Statement: [Yury Usachov, workLocation, Star City, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star City, Russia
Context triple: [Yury Usachov, workLocation, Star City, Russia]
  • A. Star City, Moscow Oblast, Soviet Union chosen
    Star City, Moscow Oblast, Soviet Union was the primary Soviet cosmonaut training center and closed military town where many cosmonauts lived and prepared for space missions.
  • B. Moscow City
    Moscow City is a modern high-rise business district in western Moscow known for its cluster of skyscrapers, financial institutions, and commercial developments.
  • C. City of Moscow
    The City of Moscow is the capital and largest city of Russia, serving as its political, economic, cultural, and scientific center.
  • D. Archangel, Russia
    Archangel, Russia (Arkhangelsk) is a historic port city in northern Russia on the White Sea, long important as a maritime and trade gateway to the Arctic.
  • E. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1e251c8190926dafe1402eb63c completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.