Triple

T9876169
Position Surface form Disambiguated ID Type / Status
Subject Svratka E240077 entity
Predicate hasReservoir P1025 FINISHED
Object Brno Reservoir E826474 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: Brno Reservoir | Statement: [Svratka, hasReservoir, Brno Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brno Reservoir
Context triple: [Svratka, hasReservoir, Brno Reservoir]
  • A. Brno Reservoir chosen
    Brno Reservoir is a large artificial lake and popular recreational area near the city of Brno in the Czech Republic.
  • B. Orlík Reservoir
    Orlík Reservoir is one of the largest artificial lakes in the Czech Republic, created by a dam on the Vltava River and known for hydroelectric power generation, flood control, and recreation.
  • C. Slapy Reservoir
    Slapy Reservoir is a large artificial lake and popular recreational area in the Czech Republic, created by damming the Vltava River for hydroelectric power, flood control, and water sports.
  • D. Lipno Reservoir
    Lipno Reservoir is the largest artificial lake in the Czech Republic, created for hydroelectric power generation, flood control, and recreation in the Šumava region.
  • E. Orava Reservoir
    Orava Reservoir is a large artificial lake in northern Slovakia known for its scenic surroundings, recreational activities, and role in flood control and hydroelectric power generation.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eae5a31c81908085f637fbbff6d2 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:37 p.m.