Triple

T14812841
Position Surface form Disambiguated ID Type / Status
Subject Ros River E348228 entity
Predicate region P40 FINISHED
Object Kyiv region 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: Kyiv region | Statement: [Ros River, region, Kyiv region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv region
Context triple: [Ros River, region, Kyiv region]
  • 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. Chernihiv region
    Chernihiv region is a historic and administrative area in northern Ukraine, known for its ancient cities, cultural heritage, and strategic location near the borders with Belarus and Russia.
  • C. 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.
  • D. Dnipropetrovsk Oblast
    Dnipropetrovsk Oblast is a large industrial and mining region in central-eastern Ukraine, known for its major cities, heavy industry, and significant role in the country’s economy.
  • E. 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.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 1:48 a.m.