Triple

T13091109
Position Surface form Disambiguated ID Type / Status
Subject Kimrsky Uyezd E310463 entity
Predicate followedBy P78 FINISHED
Object Kimrsky District E1006584 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: Kimrsky District | Statement: [Kimrsky Uyezd, followedBy, Kimrsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimrsky District
Context triple: [Kimrsky Uyezd, followedBy, Kimrsky District]
  • A. Kimrsky District chosen
    Kimrsky District is an administrative district in Tver Oblast, Russia, centered around the town of Kimry and encompassing the surrounding rural areas.
  • B. Chudovsky District
    Chudovsky District is an administrative and municipal district in Novgorod Oblast, Russia, centered around the town of Chudovo.
  • C. Chaunsky District
    Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
  • D. 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.
  • E. Engelsky District
    Engelsky District is an administrative district in Saratov Oblast, Russia, centered around the city of Engels on the Volga River.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2189c1cc819080dc296b17e42374 completed May 9, 2026, 11:59 a.m.
Created at: April 9, 2026, 9:03 p.m.