Triple

T11884383
Position Surface form Disambiguated ID Type / Status
Subject Belgorod E282740 entity
Predicate locatedOnRiver P165 FINISHED
Object Seversky Donets River E93571 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: Seversky Donets River | Statement: [Belgorod, locatedOnRiver, Seversky Donets River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seversky Donets River
Context triple: [Belgorod, locatedOnRiver, Seversky Donets River]
  • A. Kharkiv River
    The Kharkiv River is a waterway in northeastern Ukraine that flows through and lends its name to the city of Kharkiv before joining the Lopan River.
  • B. Chornaya River
    The Chornaya River is a significant waterway that contributes substantially to the flow and drainage basin of the Shilka River in eastern Russia.
  • C. Siverskyi Donets chosen
    Siverskyi Donets is a significant river in Eastern Europe that flows through Russia and eastern Ukraine, playing a key role in the region’s ecology, water supply, and ongoing geopolitical conflicts.
  • D. Vorskla River
    The Vorskla River is a significant tributary of the Dnieper River in central Ukraine, known for its historical battle sites and role in regional ecology and transport.
  • E. Trubizh River
    The Trubizh River is a tributary of the Dnieper in central Ukraine, flowing through the historic town of Pereiaslav and the surrounding Kyiv region.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a02ad4819090faef0e0be732ee completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417da310c8190aa04df2a316a5dd0 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:44 p.m.