Triple

T17927739
Position Surface form Disambiguated ID Type / Status
Subject Kalka River E448240 entity
Predicate locatedIn P40 FINISHED
Object Zaporizhzhia 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: Zaporizhzhia Oblast | Statement: [Kalka River, locatedIn, Zaporizhzhia Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaporizhzhia Oblast
Context triple: [Kalka River, locatedIn, Zaporizhzhia Oblast]
  • A. Zaporizhzhia Oblast chosen
    Zaporizhzhia Oblast is a southeastern region of Ukraine that has become a major frontline area and strategic hotspot during the ongoing conflict with Russia.
  • 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. Mykolaiv Oblast
    Mykolaiv Oblast is an administrative region in southern Ukraine known for its Black Sea coastline, shipbuilding industry, and strategic maritime location.
  • E. 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.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5505af88190aa7a5cfee0baa3a4 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.