Triple

T4314906
Position Surface form Disambiguated ID Type / Status
Subject Left-bank Ukraine E94163 entity
Predicate politicalCenter P4751 FINISHED
Object Baturyn E191041 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: Baturyn | Statement: [Left-bank Ukraine, politicalCenter, Baturyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baturyn
Context triple: [Left-bank Ukraine, politicalCenter, Baturyn]
  • A. Baturyn chosen
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • B. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • C. Kakhovskaya
    Kakhovskaya is a Moscow Metro station that serves as part of the city’s Big Circle Line.
  • D. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • E. Sorochyntsi
    Sorochyntsi is a village in central Ukraine best known as the birthplace of writer Nikolai Gogol and for its traditional fairs and cultural heritage.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08245408190b1ce584c636bf168 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.