Triple

T18116849
Position Surface form Disambiguated ID Type / Status
Subject Veveří Castle E433625 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Brno 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: Brno Reservoir | Statement: [Veveří Castle, hasNearbyAttraction, Brno Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brno Reservoir
Context triple: [Veveří Castle, hasNearbyAttraction, 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. Jablonec Reservoir
    Jablonec Reservoir is a popular artificial lake in Jablonec nad Nisou, Czech Republic, known for recreation, water sports, and scenic urban surroundings.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd67a2481909d27a4a49b095f8c completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.