Triple

T3708848
Position Surface form Disambiguated ID Type / Status
Subject Sergei Sobyanin E80958 entity
Predicate predecessor P97 FINISHED
Object Yury Luzhkov E216746 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: Yury Luzhkov | Statement: [Sergei Sobyanin, predecessor, Yury Luzhkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yury Luzhkov
Context triple: [Sergei Sobyanin, predecessor, Yury Luzhkov]
  • A. Yuri Luzhkov chosen
    Yuri Luzhkov was a long-serving Russian politician best known as the powerful and often controversial mayor of Moscow from 1992 to 2010.
  • B. Sergei Sobyanin
    Sergei Sobyanin is a Russian politician best known as the long-serving Mayor of Moscow.
  • C. Anatoly Sobchak
    Anatoly Sobchak was a prominent Russian lawyer, reformist politician, and the first democratically elected mayor of Saint Petersburg, known for his role in the early post-Soviet political transformation.
  • D. Semyon Ignatyev
    Semyon Ignatyev was a Soviet statesman and security official who served as a key leader of the USSR’s state security apparatus during the late Stalin era.
  • E. Sergei Kiriyenko
    Sergei Kiriyenko is a Russian politician and former prime minister who later became a senior Kremlin official and first deputy chief of staff to President Vladimir Putin.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc580b08481908391283778d5ce14 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f024962881908b5fe52f594a5d03 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:33 p.m.