Triple

T2649119
Position Surface form Disambiguated ID Type / Status
Subject Rybinsk Reservoir E53854 entity
Predicate namedAfter P63 FINISHED
Object Rybinsk E291027 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 | Statement: [Rybinsk Reservoir, namedAfter, Rybinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybinsk
Context triple: [Rybinsk Reservoir, namedAfter, Rybinsk]
  • A. Rybinsk chosen
    Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
  • B. Rybinsk Reservoir
    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.
  • C. Tsimlyansk Reservoir
    Tsimlyansk Reservoir is a large artificial lake on the Don River in southwestern Russia, created for hydroelectric power, irrigation, and navigation.
  • D. Votkinsk Reservoir
    Votkinsk Reservoir is a large artificial lake in Russia formed by damming the Kama River, primarily used for hydroelectric power generation, navigation, and water regulation.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91ca1288190ba302b04bac4c153 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6352520819095eb04819578c1ba completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:53 p.m.