Triple

T10173580
Position Surface form Disambiguated ID Type / Status
Subject Esfir Shub E235792 entity
Predicate deathPlace 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: [Esfir Shub, deathPlace, Moscow, Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow, Soviet Union
Context triple: [Esfir Shub, deathPlace, 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. Star City, Moscow Oblast, Soviet Union
    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.
  • C. 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.
  • D. Mosca
    Mosca is the cunning and manipulative servant in Ben Jonson’s play "Volpone," known for orchestrating deceptions and driving much of the plot’s dark comedy.
  • E. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:11 p.m.