Triple

T4987321
Position Surface form Disambiguated ID Type / Status
Subject Inhulets River E112034 entity
Predicate flowsThrough P225 FINISHED
Object Mykolaiv Oblast E288001 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: Mykolaiv Oblast | Statement: [Inhulets River, flowsThrough, Mykolaiv Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mykolaiv Oblast
Context triple: [Inhulets River, flowsThrough, Mykolaiv Oblast]
  • A. Mykolaiv Oblast chosen
    Mykolaiv Oblast is an administrative region in southern Ukraine known for its Black Sea coastline, shipbuilding industry, and strategic maritime location.
  • B. Odesa Oblast
    Odesa Oblast is an administrative region in southwestern Ukraine along the Black Sea coast, known for its major port city of Odesa and its diverse cultural and economic significance.
  • C. Kherson Oblast
    Kherson Oblast is a strategically important region in southern Ukraine, known for its Black Sea and Dnipro River access and as a major battleground during the Russo-Ukrainian War.
  • D. 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.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727d473c8190beea66bf11a826e3 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bb8b5481908f02d08594cc2e1f completed March 22, 2026, 8 a.m.
Created at: March 20, 2026, 1:34 p.m.