Triple

T13563468
Position Surface form Disambiguated ID Type / Status
Subject Koptevo MCC station E323970 entity
Predicate serves P98 FINISHED
Object Koptevo District E1186879 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: Koptevo District | Statement: [Koptevo MCC station, serves, Koptevo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koptevo District
Context triple: [Koptevo MCC station, serves, Koptevo District]
  • A. Koptevo District chosen
    Koptevo District is a residential and industrial administrative district in the northern part of Moscow, Russia.
  • B. Ruzsky District
    Ruzsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its mix of small towns, rural settlements, and historical sites west of Moscow.
  • C. Kotlovka District
    Kotlovka District is a residential and administrative neighborhood of Moscow, Russia, located in the city’s south-western sector.
  • D. Kstovsky District
    Kstovsky District is an administrative and municipal district in Nizhny Novgorod Oblast, Russia, with the town of Kstovo serving as its administrative center.
  • E. Nerekhtsky District
    Nerekhtsky District is an administrative and municipal district in Kostroma Oblast, Russia, with the town of Nerekhta serving as its administrative center.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3ab3c8881909da34dc94a1deff2 completed May 9, 2026, 11:30 p.m.
Created at: April 9, 2026, 9:47 p.m.