Triple

T4523451
Position Surface form Disambiguated ID Type / Status
Subject Shchyokino District E103320 entity
Predicate partOf P40 FINISHED
Object Tula Oblast E109563 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 Oblast | Statement: [Shchyokino District, partOf, Tula Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tula Oblast
Context triple: [Shchyokino District, partOf, Tula Oblast]
  • A. Tula Oblast chosen
    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.
  • B. Tula Governorate
    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.
  • 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. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • E. Vladimir Oblast
    Vladimir Oblast is a federal subject of central Russia known for its historic cities, including Vladimir and Suzdal, which are part of the Golden Ring.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeaaf9ea0819091bd0981068e5a72 completed April 3, 2026, 4:28 p.m.
Created at: March 20, 2026, 1:02 p.m.