Triple

T16908683
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Pedagogy E424632 entity
Predicate regionServed P82 FINISHED
Object Kryvyi Rih region 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: Kryvyi Rih region | Statement: [Faculty of Pedagogy, regionServed, Kryvyi Rih region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kryvyi Rih region
Context triple: [Faculty of Pedagogy, regionServed, Kryvyi Rih region]
  • A. 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.
  • B. Mykolaiv Oblast
    Mykolaiv Oblast is an administrative region in southern Ukraine known for its Black Sea coastline, shipbuilding industry, and strategic maritime location.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca3b1ad081908a032bff9699f2fe completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.