Triple

T19336395
Position Surface form Disambiguated ID Type / Status
Subject Luhansk People’s Republic forces E483634 entity
Predicate location P40 FINISHED
Object Luhansk 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: Luhansk Oblast | Statement: [Luhansk People’s Republic forces, location, Luhansk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luhansk Oblast
Context triple: [Luhansk People’s Republic forces, location, Luhansk Oblast]
  • A. Luhansk Oblast chosen
    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.
  • B. Donetsk Oblast
    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.
  • C. Luhansk
    Luhansk is a major city in eastern Ukraine, historically an industrial center and currently a focal point in the Russo-Ukrainian conflict.
  • D. 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.
  • E. 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.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61645c0dc8190b64e15c735bcb9f4 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.