Triple

T11388905
Position Surface form Disambiguated ID Type / Status
Subject Kastornoye E269781 entity
Predicate administrativeCenterOf P383 FINISHED
Object Kastorensky District E964143 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: Kastorensky District | Statement: [Kastornoye, administrativeCenterOf, Kastorensky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastorensky District
Context triple: [Kastornoye, administrativeCenterOf, Kastorensky District]
  • A. Kastorensky District chosen
    Kastorensky District is an administrative and municipal district in Kursk Oblast, Russia, known for its rural settlements including the locality of Kastornoye.
  • B. Pytalovsky District
    Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
  • C. Kuzminki District
    Kuzminki District is an administrative district (raion) of Moscow, Russia, known for its large Kuzminki Park and residential neighborhoods.
  • D. Nanaysky District
    Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
  • E. Agulsky District
    Agulsky District is an administrative and municipal district in the Republic of Dagestan, Russia, known for its mountainous terrain and predominantly Agul ethnic population.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4f804c81909abf5e9a88da1d91 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:34 p.m.