Triple

T15996991
Position Surface form Disambiguated ID Type / Status
Subject Ekaterinodar E387993 entity
Predicate regionType P1828 FINISHED
Object Kuban E57489 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: Kuban | Statement: [Ekaterinodar, regionType, Kuban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuban
Context triple: [Ekaterinodar, regionType, Kuban]
  • A. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • B. Kuban River chosen
    The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
  • C. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • D. Рось
    Рось — це річка в Україні, права притока Дніпра, що протікає переважно територією Київської та Черкаської областей.
  • E. Gudalovka
    Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 4:55 a.m.