Triple

T15317659
Position Surface form Disambiguated ID Type / Status
Subject Opposition Bloc E366202 entity
Predicate regionOfActivity P82 FINISHED
Object Donetsk Oblast E209766 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: Donetsk Oblast | Statement: [Opposition Bloc, regionOfActivity, Donetsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donetsk Oblast
Context triple: [Opposition Bloc, regionOfActivity, Donetsk Oblast]
  • A. Donetsk Oblast chosen
    Donetsk Oblast is an industrial and heavily urbanized region in eastern Ukraine, historically known for coal mining and metallurgy and currently a focal point of the Russo-Ukrainian conflict.
  • B. Luhansk Oblast
    Luhansk Oblast is an eastern Ukrainian region that forms part of the industrial Donbas area and has been a focal point of the Russo-Ukrainian conflict.
  • 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. Luhansk
    Luhansk is a major city in eastern Ukraine, historically an industrial center and currently a focal point in the Russo-Ukrainian conflict.
  • E. 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.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd1d384819098f38402a8740d91 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677d34748190b5f723b5fd18b3a0 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 3:16 a.m.