Triple

T17839433
Position Surface form Disambiguated ID Type / Status
Subject Mozhaysky District E445482 entity
Predicate hasReservoir P1025 FINISHED
Object Ruza Reservoir NE NERFINISHED

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: Ruza Reservoir | Statement: [Mozhaysky District, hasReservoir, Ruza Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruza Reservoir
Context triple: [Mozhaysky District, hasReservoir, Ruza Reservoir]
  • A. Ruza Reservoir chosen
    Ruza Reservoir is a large artificial lake in the Moscow region of Russia, created by damming the Ruza River to serve as a key source of water supply and recreation.
  • B. Naghlu Reservoir
    Naghlu Reservoir is a large artificial lake in Afghanistan formed by the Naghlu Dam, primarily used for hydroelectric power generation and water storage.
  • C. Iset Reservoir
    Iset Reservoir is a large artificial lake in Russia formed by damming the Iset River, used primarily for water supply, recreation, and regulating river flow.
  • D. Almatti Reservoir
    Almatti Reservoir is a major water body in Karnataka, India, formed on the Krishna River and used for irrigation, power generation, and regional water supply.
  • E. Zervreila reservoir
    Zervreila reservoir is a high-altitude artificial lake in the Swiss Alps known for its striking mountain scenery and hydroelectric power production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.