Triple

T16592880
Position Surface form Disambiguated ID Type / Status
Subject Belgorod Oblast E403133 entity
Predicate hasRiver P165 FINISHED
Object Oskol River NE NERFINISHED

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: Oskol River | Statement: [Belgorod Oblast, hasRiver, Oskol River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oskol River
Context triple: [Belgorod Oblast, hasRiver, Oskol River]
  • A. Oskol River chosen
    The Oskol River is a tributary of the Seversky Donets in western Russia and eastern Ukraine, flowing through the Belgorod and Kharkiv regions.
  • B. Strelka River
    The Strelka River is a small waterway in the St. Petersburg region of Russia, known primarily for flowing through and giving its name to the settlement of Strelna.
  • C. Vozha River
    The Vozha River is a waterway in western Russia historically notable as the site of a major 14th-century battle between the Grand Duchy of Moscow and the Golden Horde.
  • D. Razdolnaya River
    The Razdolnaya River is a transboundary river in Northeast Asia that flows from northeastern China into Russia’s Primorsky Krai before emptying into the Sea of Japan.
  • E. Snezhnaya River
    The Snezhnaya River is a Siberian river in Russia that serves as one of the tributaries feeding into Lake Baikal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:16 a.m.