Triple

T11999975
Position Surface form Disambiguated ID Type / Status
Subject Mogilev Region E285632 entity
Predicate containsCity P294 FINISHED
Object Byalynichy E470876 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: Byalynichy | Statement: [Mogilev Region, containsCity, Byalynichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byalynichy
Context triple: [Mogilev Region, containsCity, Byalynichy]
  • A. Byalynichy chosen
    Byalynichy is a small town in eastern Belarus known as an administrative center in the Mogilev Region.
  • B. Golymin
    Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
  • C. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • D. Bialla
    Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
  • E. Zvenyhora
    Zvenyhora is a 1928 Ukrainian silent film directed by Oleksandr Dovzhenko, renowned for its poetic, avant-garde portrayal of Ukrainian history and folklore.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.