Triple

T19364449
Position Surface form Disambiguated ID Type / Status
Subject Інгулець E484364 entity
Predicate sourceRegion P410 FINISHED
Object Kirovohrad Oblast NE NERFINISHED

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: Kirovohrad Oblast | Statement: [Інгулець, sourceRegion, Kirovohrad Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirovohrad Oblast
Context triple: [Інгулець, sourceRegion, Kirovohrad Oblast]
  • A. Kirovohrad Oblast chosen
    Kirovohrad Oblast is an administrative region in central Ukraine known for its agricultural economy and location within the country’s steppe zone.
  • B. Voroshylovhrad Oblast
    Voroshylovhrad Oblast was the Soviet-era name of the administrative region in eastern Ukraine now known as Luhansk Oblast.
  • C. Kharkiv Oblast
    Kharkiv Oblast is a northeastern region of Ukraine that has become a major frontline area and focal point of fighting during the Russo-Ukrainian War.
  • D. Vinnytsia Oblast
    Vinnytsia Oblast is an administrative region in central Ukraine known for its agricultural economy, historical cities, and role as a key transportation hub.
  • E. Ivano-Frankivsk Oblast
    Ivano-Frankivsk Oblast is an administrative region in western Ukraine known for its Carpathian Mountain landscapes, rich Hutsul culture, and historical cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a9ac68819082cf9deadf526156 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.