Triple

T17480903
Position Surface form Disambiguated ID Type / Status
Subject Savyolovsky railway terminal E425654 entity
Predicate locatedInDistrict P40 FINISHED
Object Savyolovsky District NE NERFINISHED

How this triple was built (3 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: Savyolovsky District | Statement: [Savyolovsky railway terminal, locatedInDistrict, Savyolovsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savyolovsky District
Context triple: [Savyolovsky railway terminal, locatedInDistrict, Savyolovsky District]
  • A. Shchyolkovsky District
    Shchyolkovsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Shchyolkovo and forming part of the greater Moscow metropolitan area.
  • B. Volkhovsky District
    Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
  • C. Kirillovsky District
    Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
  • D. Danilovsky District
    Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
  • E. Nikolaevsky District
    Nikolaevsky District is an administrative and municipal district located within Khabarovsk Krai in the Russian Far East.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Savyolovsky District
Target entity description: Savyolovsky District is an administrative district in Moscow, Russia, known for its major transport hub centered around the Savyolovsky railway terminal and nearby commercial and residential areas.
  • A. Shchyolkovsky District
    Shchyolkovsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Shchyolkovo and forming part of the greater Moscow metropolitan area.
  • B. Volkhovsky District
    Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
  • C. Kirillovsky District
    Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
  • D. Danilovsky District
    Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
  • E. Nikolaevsky District
    Nikolaevsky District is an administrative and municipal district located within Khabarovsk Krai in the Russian Far East.
  • F. None of above. chosen

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.