Triple

T6087460
Position Surface form Disambiguated ID Type / Status
Subject Pechenga E135673 entity
Predicate administrativeCenterOf P383 FINISHED
Object Pechengsky District E587480 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: Pechengsky District | Statement: [Pechenga, administrativeCenterOf, Pechengsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pechengsky District
Context triple: [Pechenga, administrativeCenterOf, Pechengsky District]
  • A. Pechengsky District chosen
    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.
  • B. 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.
  • C. Nevelsky District
    Nevelsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Nevel.
  • D. Shchyolkovsky District
    Shchyolkovsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Shchyolkovo and forming part of the greater Moscow metropolitan area.
  • E. Nikolaevsky District
    Nikolaevsky District is an administrative and municipal district located within Khabarovsk Krai in the Russian Far East.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578bf2508190859c2dbd4c10b316 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6384cf18481909e8cc7f8d35ba2c5 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:12 p.m.