Triple

T2108821
Position Surface form Disambiguated ID Type / Status
Subject Moscow Department of Education E42456 entity
Predicate subordinateTo P258 FINISHED
Object Mayor of Moscow E6461 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: Mayor of Moscow | Statement: [Moscow Department of Education, subordinateTo, Mayor of Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayor of Moscow
Context triple: [Moscow Department of Education, subordinateTo, Mayor of Moscow]
  • A. Mayor of Moscow chosen
    The Mayor of Moscow is the highest-ranking city official responsible for governing Russia’s capital, overseeing its administration, budget, and urban development.
  • B. Yuri Luzhkov
    Yuri Luzhkov was a long-serving Russian politician best known as the powerful and often controversial mayor of Moscow from 1992 to 2010.
  • C. Sergei Sobyanin
    Sergei Sobyanin is a Russian politician best known as the long-serving Mayor of Moscow.
  • D. Mayor of Helsinki
    The Mayor of Helsinki is the chief executive of Finland’s capital city, responsible for leading its municipal administration and implementing city council decisions.
  • E. Prime Minister of Russia
    The Prime Minister of Russia is the head of the Russian government, responsible for overseeing the federal executive branch and implementing domestic and economic policy under the president’s authority.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbae03f308190841f5a419bb821f6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306ff3a481909ce3c34edb3ab0e2 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.