Triple

T19509541
Position Surface form Disambiguated ID Type / Status
Subject Roslavl E488109 entity
Predicate administrativeCenterOf P383 FINISHED
Object Roslavlsky 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: Roslavlsky District | Statement: [Roslavl, administrativeCenterOf, Roslavlsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roslavlsky District
Context triple: [Roslavl, administrativeCenterOf, Roslavlsky District]
  • A. Rostovsky District
    Rostovsky District is an administrative and municipal district in Yaroslavl Oblast, Russia, centered around the historic town of Rostov.
  • B. Morshansky District
    Morshansky District is an administrative and municipal district in Tambov Oblast, Russia, centered around the town of Morshansk.
  • C. Nerekhtsky District
    Nerekhtsky District is an administrative and municipal district in Kostroma Oblast, Russia, with the town of Nerekhta serving as its administrative center.
  • D. Priozersky District
    Priozersky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its location around Lake Ladoga and its historical ties to the Karelian Isthmus.
  • E. Slantsevsky District
    Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
  • 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: Roslavlsky District
Target entity description: Roslavlsky District is an administrative and municipal district in Smolensk Oblast, Russia, known for its historical town of Roslavl and its role in regional governance and local economy.
  • A. Rostovsky District
    Rostovsky District is an administrative and municipal district in Yaroslavl Oblast, Russia, centered around the historic town of Rostov.
  • B. Morshansky District
    Morshansky District is an administrative and municipal district in Tambov Oblast, Russia, centered around the town of Morshansk.
  • C. Nerekhtsky District
    Nerekhtsky District is an administrative and municipal district in Kostroma Oblast, Russia, with the town of Nerekhta serving as its administrative center.
  • D. Priozersky District
    Priozersky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its location around Lake Ladoga and its historical ties to the Karelian Isthmus.
  • E. Slantsevsky District
    Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.