Triple

T13626700
Position Surface form Disambiguated ID Type / Status
Subject Izium salient E325600 entity
Predicate near P350 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: [Izium salient, near, Seversky Donets River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seversky Donets River
Context triple: [Izium salient, near, 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:51 p.m.