Triple

T19105729
Position Surface form Disambiguated ID Type / Status
Subject Kuibyshev State University E467648 entity
Predicate locatedIn P40 FINISHED
Object Kuibyshev NE NERFINISHED

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: Kuibyshev | Statement: [Kuibyshev State University, locatedIn, Kuibyshev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuibyshev
Context triple: [Kuibyshev State University, locatedIn, Kuibyshev]
  • A. Kuibyshev chosen
    Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
  • B. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • C. Kirov
    Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
  • D. Kirov
    Kirov is a Soviet nuclear-powered guided-missile battlecruiser that served as the lead ship of one of the largest and most heavily armed surface combatant classes built since World War II.
  • E. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e37159688190a6896d9730214ba8 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.