Triple

T9767742
Position Surface form Disambiguated ID Type / Status
Subject Kamyshin E237038 entity
Predicate partOf P40 FINISHED
Object Kamyshinsky District E882678 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: Kamyshinsky District | Statement: [Kamyshin, partOf, Kamyshinsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamyshinsky District
Context triple: [Kamyshin, partOf, Kamyshinsky District]
  • A. Kamyshinsky District chosen
    Kamyshinsky District is an administrative and municipal district in Volgograd Oblast, Russia, with its local government centered in the town of Kamyshin.
  • B. Istrinsky District
    Istrinsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its historical towns, rural landscapes, and proximity to the city of Moscow.
  • C. 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.
  • D. 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.
  • E. Butyrsky District
    Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69de21a949508190ad16b061ead5ed24 completed April 14, 2026, 11:14 a.m.
Created at: March 30, 2026, 8:25 p.m.