Triple

T552586
Position Surface form Disambiguated ID Type / Status
Subject Rurik dynasty E11871 entity
Predicate coreTerritory P1103 FINISHED
Object Dnieper basin E41855 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: Dnieper basin | Statement: [Rurik dynasty, coreTerritory, Dnieper basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dnieper basin
Context triple: [Rurik dynasty, coreTerritory, Dnieper basin]
  • A. Dnieper chosen
    The Dnieper is a major Eastern European river that flows through Russia, Belarus, and Ukraine before emptying into the Black Sea.
  • B. Dniester
    The Dniester is a major river in Eastern Europe that flows through Ukraine and Moldova before emptying into the Black Sea.
  • C. Kuban River
    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.
  • D. Vyshny Volochyok
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • E. Azov-Black Sea waterway system
    The Azov-Black Sea waterway system is a network of canals and shipping routes that connects the Sea of Azov with the Black Sea and broader international maritime trade corridors.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e219c788190888ef02fad09096e completed March 2, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:32 p.m.