Triple

T1201778
Position Surface form Disambiguated ID Type / Status
Subject Krasnodar Krai E25796 entity
Predicate containsRegion P285 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: [Krasnodar Krai, containsRegion, Kuban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuban
Context triple: [Krasnodar Krai, containsRegion, Kuban]
  • A. 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.
  • B. Klyazma River
    The Klyazma River is a significant waterway in western Russia that flows through several regions, including Moscow Oblast, before joining the Oka River.
  • C. Okhta River
    The Okhta River is a tributary waterway in northwestern Russia that flows through Saint Petersburg before joining the Neva River.
  • D. Maritsa
    Maritsa is a significant river in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
  • E. Ural River
    The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9fece4819089a6a2d61e61fa2e completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0146e1ec8190974e9d73acd6ca90 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:46 p.m.