Triple

T13304464
Position Surface form Disambiguated ID Type / Status
Subject Belaya River E316900 entity
Predicate flowsInto P408 FINISHED
Object Kama Reservoir E272056 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: Kama Reservoir | Statement: [Belaya River, flowsInto, Kama Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kama Reservoir
Context triple: [Belaya River, flowsInto, Kama Reservoir]
  • A. Kama Reservoir chosen
    Kama Reservoir is a large artificial lake in Russia formed by damming the Kama River, used primarily for hydroelectric power generation, navigation, and water regulation.
  • B. Canistear Reservoir
    Canistear Reservoir is a man-made lake in northern New Jersey that serves as a water supply and recreational area within the township of West Milford.
  • C. Susqueda Reservoir
    Susqueda Reservoir is a major artificial lake in Catalonia, Spain, created by damming the Ter River to provide water supply and hydroelectric power.
  • D. Yesa Reservoir
    Yesa Reservoir is a large artificial lake on the Aragón River in northern Spain, known for water supply, irrigation, and hydroelectric power within the Ebro basin.
  • E. Mequinenza Reservoir
    Mequinenza Reservoir is a large artificial lake in northeastern Spain formed by damming the Ebro River, known for hydroelectric power generation, fishing, and water sports.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2ae47881909e0e6c23473a9e1c completed May 8, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:28 p.m.