Triple

T8440038
Position Surface form Disambiguated ID Type / Status
Subject Chernihiv region E199327 entity
Predicate bordersWith P224 FINISHED
Object Kyiv Oblast E110754 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: Kyiv Oblast | Statement: [Chernihiv region, bordersWith, Kyiv Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv Oblast
Context triple: [Chernihiv region, bordersWith, Kyiv Oblast]
  • A. Kyiv Oblast chosen
    Kyiv Oblast is a central administrative region of Ukraine surrounding, but administratively separate from, the nation’s capital city of Kyiv.
  • B. 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.
  • C. Kirovohrad Oblast
    Kirovohrad Oblast is an administrative region in central Ukraine known for its agricultural economy and location within the country’s steppe zone.
  • 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. Kiev Governorate
    Kiev Governorate was an administrative division of the Russian Empire centered on the city of Kiev, encompassing much of central Ukraine in the 18th–early 20th centuries.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d583f75c819083cb0dcdf265d735 completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 6:08 p.m.