Triple

T11683926
Position Surface form Disambiguated ID Type / Status
Subject Otradnoye E277689 entity
Predicate servesDistrict P82 FINISHED
Object Otradnoye District E993744 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: Otradnoye District | Statement: [Otradnoye, servesDistrict, Otradnoye District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otradnoye District
Context triple: [Otradnoye, servesDistrict, Otradnoye District]
  • A. Otradnoye District chosen
    Otradnoye District is an administrative district (raion) of Moscow, Russia, known primarily as a residential area in the city’s northeastern part.
  • B. 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.
  • C. Begovoy District
    Begovoy District is an administrative district in Moscow, Russia, known for its mix of residential areas, office buildings, and major transport routes.
  • D. Pechorsky District
    Pechorsky District is an administrative district in western Russia known for its historic town of Pechory and the Pskovo-Pechersky Monastery near the Estonian border.
  • E. Butyrsky District
    Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f668479b188190ae720e77fbf6897f completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:40 p.m.