Triple

T10485218
Position Surface form Disambiguated ID Type / Status
Subject Priozersk E247277 entity
Predicate partOf P40 FINISHED
Object Priozersky District E427977 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: Priozersky District | Statement: [Priozersk, partOf, Priozersky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priozersky District
Context triple: [Priozersk, partOf, Priozersky District]
  • A. Priozersky District chosen
    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.
  • B. Tikhvinsky District
    Tikhvinsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its historical towns and location in the eastern part of the region.
  • C. Mostovsky District
    Mostovsky District is an administrative and municipal district in Krasnodar Krai, Russia, known for its mountainous terrain in the western Caucasus region.
  • D. Pytalovsky District
    Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
  • E. Yartsevsky District
    Yartsevsky District is an administrative and municipal district in Smolensk Oblast, Russia, centered around the town of Yartsevo and known for its industrial and transport significance.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50968a0bc8190a18ba24eb37431d9 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69e482d55a04819090d95f7a4abb6e29 completed April 19, 2026, 7:23 a.m.
Created at: April 6, 2026, 12:23 p.m.