Triple

T6843522
Position Surface form Disambiguated ID Type / Status
Subject Klyazma River E157834 entity
Predicate flowsThrough P225 FINISHED
Object Yaroslavl Oblast E58227 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: Yaroslavl Oblast | Statement: [Klyazma River, flowsThrough, Yaroslavl Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaroslavl Oblast
Context triple: [Klyazma River, flowsThrough, Yaroslavl Oblast]
  • A. Yaroslavl Oblast chosen
    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.
  • B. Pskov Oblast
    Pskov Oblast is a federal subject of western Russia bordering the Baltic states and Belarus, known for its historic city of Pskov and numerous medieval fortresses.
  • C. Novgorod Oblast
    Novgorod Oblast is a federal subject of Russia known for its historic cities, including Veliky Novgorod, one of the oldest and most culturally significant centers in the country.
  • 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. Tver Oblast
    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.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e482d55a04819090d95f7a4abb6e29 completed April 19, 2026, 7:23 a.m.
Created at: March 27, 2026, 2:19 p.m.