Triple

T1346104
Position Surface form Disambiguated ID Type / Status
Subject Daugava River E28573 entity
Predicate passesThroughRegion P3448 FINISHED
Object Vitebsk Region E16888 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: Vitebsk Region | Statement: [Daugava River, passesThroughRegion, Vitebsk Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitebsk Region
Context triple: [Daugava River, passesThroughRegion, Vitebsk Region]
  • A. Vilna Governorate
    Vilna Governorate was an administrative division of the Russian Empire in the 19th and early 20th centuries, centered on the historic city of Vilnius in the region of present-day Lithuania and Belarus.
  • B. Grodno Governorate
    Grodno Governorate was a historical administrative region of the Russian Empire in present-day Belarus and parts of neighboring countries, notable as the birthplace of L. L. Zamenhof, the creator of Esperanto.
  • C. Vitebsk chosen
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • D. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • E. Gomel
    Gomel is a major city in southeastern Belarus, serving as an important cultural, industrial, and economic center near the border with Russia and Ukraine.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.