Triple

T20596540
Position Surface form Disambiguated ID Type / Status
Subject Zavitinsky District E506062 entity
Predicate hasRussianName P20560 FINISHED
Object Завитинский район 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: Завитинский район | Statement: [Zavitinsky District, hasRussianName, Завитинский район]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Завитинский район
Context triple: [Zavitinsky District, hasRussianName, Завитинский район]
  • A. Zavitinsky District chosen
    Zavitinsky District is an administrative and municipal district in Amur Oblast, Russia, centered around the town of Zavitinsk.
  • B. Rutulsky District
    Rutulsky District is an administrative district in the Republic of Dagestan, Russia, known for its mountainous terrain and ethnolinguistic diversity.
  • C. Veshnyaki District
    Veshnyaki District is a residential administrative district in the Eastern Administrative Okrug of Moscow, Russia, known for its large housing estates and proximity to major transport routes.
  • D. Begovoy District
    Begovoy District is an administrative district in Moscow, Russia, known for its mix of residential areas, office buildings, and major transport routes.
  • E. Vyazemsky District
    Vyazemsky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its location in the Russian Far East and its center in the town of Vyazemsky.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1bea1c81908b85f38b2a471285 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.