Triple

T16851185
Position Surface form Disambiguated ID Type / Status
Subject PFO E409678 entity
Predicate containsFederalSubject P22806 FINISHED
Object Orenburg 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: Orenburg Oblast | Statement: [PFO, containsFederalSubject, Orenburg Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orenburg Oblast
Context triple: [PFO, containsFederalSubject, Orenburg Oblast]
  • A. Orenburg Oblast chosen
    Orenburg Oblast is a federal subject of Russia located at the southern end of the Ural region, serving as a historical gateway between Europe and Asia and bordering Kazakhstan.
  • B. Astrakhan Oblast
    Astrakhan Oblast is a federal subject in southern Russia located in the lower Volga region near the Caspian Sea, known for its riverine landscapes, fisheries, and diverse ethnic composition.
  • C. Chelyabinsk Oblast
    Chelyabinsk Oblast is a federal subject of Russia located on the eastern slopes of the Ural Mountains, serving as a major industrial and mining region that bridges Europe and Asia.
  • D. Gorky Oblast
    Gorky Oblast was a former administrative region of the Russian SFSR in the Soviet Union, centered on the city now known as Nizhny Novgorod.
  • E. Novosibirsk Oblast
    Novosibirsk Oblast is a federal subject of Russia in southwestern Siberia, centered on the major city of Novosibirsk and known as an important industrial, scientific, and transportation hub.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:24 a.m.