Triple

T16867162
Position Surface form Disambiguated ID Type / Status
Subject Navahrudak E410071 entity
Predicate partOf P40 FINISHED
Object Navahrudak 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: Navahrudak District | Statement: [Navahrudak, partOf, Navahrudak District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navahrudak District
Context triple: [Navahrudak, partOf, Navahrudak District]
  • A. 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.
  • B. Tuapsinsky District
    Tuapsinsky District is an administrative district in Krasnodar Krai, Russia, located on the Black Sea coast and known for its port town of Tuapse and surrounding mountainous terrain.
  • C. Totemsky District
    Totemsky District is an administrative district (raion) in Vologda Oblast, Russia, centered around the historic town of Totma.
  • D. Arsky District
    Arsky District is an administrative and municipal district in the Republic of Tatarstan, Russia, known for its predominantly rural character and Tatar cultural heritage.
  • E. Kandalakshsky District
    Kandalakshsky District is an administrative district in Murmansk Oblast, Russia, centered around the town of Kandalaksha on the White Sea coast.
  • 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: Navahrudak District
Target entity description: Navahrudak District is an administrative district in the Grodno Region of western Belarus, centered around the historic town of Navahrudak.
  • A. 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.
  • B. Tuapsinsky District
    Tuapsinsky District is an administrative district in Krasnodar Krai, Russia, located on the Black Sea coast and known for its port town of Tuapse and surrounding mountainous terrain.
  • C. Totemsky District
    Totemsky District is an administrative district (raion) in Vologda Oblast, Russia, centered around the historic town of Totma.
  • D. Arsky District
    Arsky District is an administrative and municipal district in the Republic of Tatarstan, Russia, known for its predominantly rural character and Tatar cultural heritage.
  • E. Kandalakshsky District
    Kandalakshsky District is an administrative district in Murmansk Oblast, Russia, centered around the town of Kandalaksha on the White Sea coast.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50983148190a116f7e7017ccb1c completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:24 a.m.