Triple

T10379770
Position Surface form Disambiguated ID Type / Status
Subject Vostok 6 E244605 entity
Predicate trainingLocation P40 FINISHED
Object Star City, Soviet Union E672400 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: Star City, Soviet Union | Statement: [Vostok 6, trainingLocation, Star City, Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star City, Soviet Union
Context triple: [Vostok 6, trainingLocation, Star City, Soviet Union]
  • 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. 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.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Sztálinváros
    Sztálinváros was the former name of the Hungarian industrial city now known as Dunaújváros, built as a model socialist steel-producing center during the communist era.
  • E. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.