Triple

T5105557
Position Surface form Disambiguated ID Type / Status
Subject Kherson Oblast E115083 entity
Predicate borderedBy P224 FINISHED
Object Dnipropetrovsk Oblast E97414 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: Dnipropetrovsk Oblast | Statement: [Kherson Oblast, borderedBy, Dnipropetrovsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dnipropetrovsk Oblast
Context triple: [Kherson Oblast, borderedBy, Dnipropetrovsk Oblast]
  • A. Dnipropetrovsk Oblast chosen
    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.
  • 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. Kyiv Oblast
    Kyiv Oblast is a central administrative region of Ukraine surrounding, but administratively separate from, the nation’s capital city of Kyiv.
  • E. Zaporizhzhia Oblast
    Zaporizhzhia Oblast is a southeastern region of Ukraine that has become a major frontline area and strategic hotspot during the ongoing conflict with Russia.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7589e40c8190a46e4a1b7142be14 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1e755081909649e0dd8c4d2270 completed March 22, 2026, 9:45 a.m.
Created at: March 20, 2026, 1:41 p.m.