Triple

T13582164
Position Surface form Disambiguated ID Type / Status
Subject Atkarsk E324446 entity
Predicate partOf P40 FINISHED
Object Atkarsky Municipal District E1203646 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: Atkarsky Municipal District | Statement: [Atkarsk, partOf, Atkarsky Municipal District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atkarsky Municipal District
Context triple: [Atkarsk, partOf, Atkarsky Municipal District]
  • A. Atkarsky District chosen
    Atkarsky District is an administrative and municipal district in Saratov Oblast, Russia, known for its predominantly rural character and governance centered in the town of Atkarsk.
  • B. Butyrsky District
    Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
  • C. Gatchinsky District
    Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
  • D. Kirillovsky District
    Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
  • E. Pechengsky District
    Pechengsky District is an administrative district in Murmansk Oblast in northwestern Russia, bordering Norway and Finland and known for its Arctic landscapes and strategic location on the Barents Sea.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f79c6ac81909935dace3dcc8bea completed May 10, 2026, 6:02 a.m.
Created at: April 9, 2026, 9:48 p.m.