Triple

T14497563
Position Surface form Disambiguated ID Type / Status
Subject Sheksna River E359541 entity
Predicate flowsInto P408 FINISHED
Object Rybinsk Reservoir E53854 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: Rybinsk Reservoir | Statement: [Sheksna River, flowsInto, Rybinsk Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybinsk Reservoir
Context triple: [Sheksna River, flowsInto, Rybinsk Reservoir]
  • A. Rybinsk Reservoir chosen
    Rybinsk Reservoir is a large artificial lake in Russia, created by damming the Volga and several tributaries, and is one of the country’s largest and historically most significant reservoirs.
  • B. Tsimlyansk Reservoir
    Tsimlyansk Reservoir is a large artificial lake on the Don River in southwestern Russia, created for hydroelectric power, irrigation, and navigation.
  • C. Bratsk Reservoir
    Bratsk Reservoir is a massive artificial lake in Siberia, Russia, created by the Bratsk Dam and known as one of the world’s largest reservoirs by volume.
  • D. Rybinsk
    Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
  • E. Klyazminskoye Reservoir
    Klyazminskoye Reservoir is a large artificial lake in Moscow Oblast, Russia, used primarily for water supply, recreation, and regulating river flow.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a420040819097ee73390d625338 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.