Triple

T6290103
Position Surface form Disambiguated ID Type / Status
Subject Tolstoy E140994 entity
Predicate region P40 FINISHED
Object Tula Governorate E36616 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: Tula Governorate | Statement: [Tolstoy, region, Tula Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tula Governorate
Context triple: [Tolstoy, region, Tula Governorate]
  • A. Tula Governorate chosen
    Tula Governorate was a historical administrative region of the Russian Empire and early Russian SFSR, located south of Moscow and known for its cultural and literary significance.
  • B. Tula Oblast
    Tula Oblast is a federal subject of Russia located south of Moscow, known for its industrial centers, historical significance, and the city of Tula, famous for samovars and gingerbread.
  • C. 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.
  • D. Orenburg Oblast
    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.
  • E. 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.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641ca91481909d49b700cef93ffe completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
Created at: March 22, 2026, 4:26 p.m.