Triple

T13921757
Position Surface form Disambiguated ID Type / Status
Subject Вышний Волочёк E334762 entity
Predicate locatedIn P40 FINISHED
Object Тверская область E57105 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: Тверская область | Statement: [Вышний Волочёк, locatedIn, Тверская область]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Тверская область
Context triple: [Вышний Волочёк, locatedIn, Тверская область]
  • A. Tver Oblast chosen
    Tver Oblast is a federal subject of western Russia known for its forests, lakes, and historic towns, and for encompassing the headwaters of major rivers including the Volga.
  • B. Yaroslavl Oblast
    Yaroslavl Oblast is a federal subject of central Russia known for its historic cities along the Volga River and its role as part of the country’s Golden Ring tourist route.
  • C. Tver Governorate
    Tver Governorate was an administrative division of the Russian Empire and early Russian SFSR, centered on the city of Tver, that existed from the late 18th to the early 20th century.
  • D. Smolensk Oblast
    Smolensk Oblast is a federal subject of western Russia known for its historic city of Smolensk and its location along the route between Moscow and Belarus.
  • E. Vologda Oblast
    Vologda Oblast is a federal subject of Russia known for its historic cities, traditional wooden architecture, and significant timber and metallurgy industries in the country’s northwest.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa5c1f481908a9d8786872f08fe completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69feadf7fee48190bf58a1b4a603217e completed May 9, 2026, 3:46 a.m.
Created at: April 9, 2026, 10:16 p.m.