Triple

T8011561
Position Surface form Disambiguated ID Type / Status
Subject Moscow Governorate E186504 entity
Predicate hasMajorCity P316 FINISHED
Object Rostokino E475623 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: Rostokino | Statement: [Moscow Governorate, hasMajorCity, Rostokino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rostokino
Context triple: [Moscow Governorate, hasMajorCity, Rostokino]
  • A. Novogireyevo
    Novogireyevo is a Moscow Metro station serving the Novogireyevo District in the eastern part of Moscow, Russia.
  • B. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • C. Rostokino District chosen
    Rostokino District is a residential and historical administrative area in northeastern Moscow, known for its parks, transport links, and proximity to major waterways and rail lines.
  • D. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
  • E. Neryungrinsky District
    Neryungrinsky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its coal mining center around the town of Neryungri.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d722fbc8190b22745b581421f16 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56acfcf88190a0e694f60f2907d2 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.