Triple

T86908
Position Surface form Disambiguated ID Type / Status
Subject Moscow E1747 entity
Predicate hasMayor P185 FINISHED
Object Sergey Sobyanin 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: Sergey Sobyanin | Statement: [Moscow, hasMayor, Sergey Sobyanin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergey Sobyanin
Context triple: [Moscow, hasMayor, Sergey Sobyanin]
  • 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. Vladimir Putin
    Vladimir Putin is the long-serving Russian leader and former KGB officer who has played a central and often controversial role in post-Soviet Russian politics and global affairs.
  • C. Moscow City Duma
    The Moscow City Duma is the unicameral regional parliament responsible for passing laws and overseeing governance in Russia’s capital city.
  • D. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • E. Government of Moscow
    The Government of Moscow is the executive authority responsible for administering and managing the city of Moscow, including its policies, public services, and urban development.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f50e004819083f5bfccd597a312 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26243abb881908e732c8f885cc694 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.