Triple

T5189751
Position Surface form Disambiguated ID Type / Status
Subject Kukarka E117121 entity
Predicate locatedIn P40 FINISHED
Object Kirov Oblast E475836 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: Kirov Oblast | Statement: [Kukarka, locatedIn, Kirov Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirov Oblast
Context triple: [Kukarka, locatedIn, 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. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • C. 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.
  • D. 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.
  • E. Lipetsk Oblast
    Lipetsk Oblast is a federal subject of western Russia known for its industrial centers, agricultural production, and administrative capital, the city of Lipetsk.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4d6c6d50c8190976d808e66d06d0f completed April 7, 2026, 10:04 a.m.
Created at: March 20, 2026, 1:46 p.m.