Triple

T12712647
Position Surface form Disambiguated ID Type / Status
Subject Komi E303758 entity
Predicate indigenousTo P3743 FINISHED
Object Kirov 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: Kirov Oblast | Statement: [Komi, indigenousTo, Kirov Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirov Oblast
Context triple: [Komi, indigenousTo, Kirov Oblast]
  • A. Kirov Oblast chosen
    Kirov Oblast is a federal subject of Russia located in the Volga-Vyatka region, known for its extensive forests, agricultural activities, and the administrative center city of Kirov.
  • B. 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.
  • C. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • D. Sverdlovsk Oblast
    Sverdlovsk Oblast is a large industrial and mining region in Russia’s Ural Mountains, with Yekaterinburg as its administrative center and a significant role in the country’s metallurgy and engineering sectors.
  • E. Kursk Oblast
    Kursk Oblast is a federal subject of western Russia known for its agricultural production, iron ore deposits, and the historic World War II Battle of Kursk.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
Created at: April 9, 2026, 5:23 p.m.