Triple

T1898515
Position Surface form Disambiguated ID Type / Status
Subject Northern Ukraine E37636 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Chernihiv-Sivershchyna E149955 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: Chernihiv-Sivershchyna | Statement: [Northern Ukraine, hasHistoricalRegion, Chernihiv-Sivershchyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chernihiv-Sivershchyna
Context triple: [Northern Ukraine, hasHistoricalRegion, Chernihiv-Sivershchyna]
  • A. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • B. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • C. Chernihiv chosen
    Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
  • 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. Kropyvnytskyi
    Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae892f5bac8190b1033a1eacfab7ef completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:35 p.m.