Triple

T8947901
Position Surface form Disambiguated ID Type / Status
Subject Berezina E213267 entity
Predicate flowsThrough P225 FINISHED
Object Berezino E213267 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: Berezino | Statement: [Berezina, flowsThrough, Berezino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berezino
Context triple: [Berezina, flowsThrough, Berezino]
  • A. Batalpashinskaya
    Batalpashinskaya was the former name of the city now known as Cherkessk, a regional center in the North Caucasus of Russia.
  • B. Berezina chosen
    The Berezina is a major river in Belarus known for its historical significance, particularly as the site of a crucial battle during Napoleon’s 1812 retreat from Russia.
  • C. Zbruch
    Zbruch is a river in western Ukraine that flows through the Podolia region and is known for the discovery of the Zbruch Idol, a famous Slavic pagan stone sculpture.
  • D. Borovitskaya
    Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
  • E. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • 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_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:59 p.m.