Triple

T8947902
Position Surface form Disambiguated ID Type / Status
Subject Berezina E213267 entity
Predicate flowsThrough P225 FINISHED
Object Minsk Region E224062 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: Minsk Region | Statement: [Berezina, flowsThrough, Minsk Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minsk Region
Context triple: [Berezina, flowsThrough, Minsk Region]
  • A. Minsk Region chosen
    Minsk Region is an administrative region in central Belarus that surrounds, but does not include, the national capital city of Minsk.
  • B. Minsk Governorate
    Minsk Governorate was an administrative division of the Russian Empire and later the early Soviet state, centered on the city of Minsk in the historical region of Belarus.
  • C. Mogilev Region
    Mogilev Region is an administrative region in eastern Belarus known for its industrial centers, agricultural production, and location along the Dnieper River.
  • D. Vitebsk Region
    Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
  • E. Gomel Region
    Gomel Region is an administrative region in southeastern Belarus known for its industrial centers, agricultural production, and proximity to the Chernobyl-affected areas.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d14bb716cc819096a1e02e61db2e69 completed April 4, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:59 p.m.