Triple

T18549463
Position Surface form Disambiguated ID Type / Status
Subject Syniukha River E453331 entity
Predicate flowsThrough P225 FINISHED
Object Mykolaiv Oblast 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: Mykolaiv Oblast | Statement: [Syniukha River, flowsThrough, Mykolaiv Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mykolaiv Oblast
Context triple: [Syniukha 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 (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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534beeb408190a03f6d7c3f2ef389 completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.