Triple

T14445084
Position Surface form Disambiguated ID Type / Status
Subject Svyataya Hara E358183 entity
Predicate locatedIn P40 FINISHED
Object Vitebsk Region E435331 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: [Svyataya Hara, locatedIn, Vitebsk Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitebsk Region
Context triple: [Svyataya Hara, locatedIn, Vitebsk Region]
  • A. Vitebsk Region chosen
    Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
  • B. Mogilev Region
    Mogilev Region is an administrative region in eastern Belarus known for its industrial centers, agricultural production, and location along the Dnieper River.
  • C. Vitebsk Governorate
    Vitebsk Governorate was an administrative division of the Russian Empire and later the early Soviet state, centered on the city of Vitebsk in what is now northeastern Belarus.
  • D. Minsk Region
    Minsk Region is an administrative region in central Belarus that surrounds, but does not include, the national capital city of Minsk.
  • E. Grodno Region
    Grodno Region is an administrative region in western Belarus known for its historic cities, diverse cultural heritage, and location along the borders with Poland and Lithuania.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdd0f388190870ddd01f66d3e99 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.