Triple

T16227591
Position Surface form Disambiguated ID Type / Status
Subject Seim River E393892 entity
Predicate hasTributary P415 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: [Seim River, hasTributary, Oskol River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oskol River
Context triple: [Seim River, hasTributary, 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:03 a.m.