Triple

T9045557
Position Surface form Disambiguated ID Type / Status
Subject Yuri Luzhkov E216746 entity
Predicate positionHeld P8 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: [Yuri Luzhkov, positionHeld, Mayor of Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayor of Moscow
Context triple: [Yuri Luzhkov, positionHeld, 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. Governor-General of Moscow
    The Governor-General of Moscow was a high-ranking imperial official in the Russian Empire who oversaw the administration, security, and governance of Moscow and its surrounding region on behalf of the tsar.
  • C. 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.
  • D. Sergei Sobyanin
    Sergei Sobyanin is a Russian politician best known as the long-serving Mayor of Moscow.
  • E. Mayor of Kemerovo
    The Mayor of Kemerovo is the chief executive official responsible for governing the city of Kemerovo in Russia’s Kemerovo Oblast.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.