Triple

T21290264
Position Surface form Disambiguated ID Type / Status
Subject West Bohemia E524766 entity
Predicate hasRiver P165 FINISHED
Object Berounka 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: Berounka | Statement: [West Bohemia, hasRiver, Berounka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berounka
Context triple: [West Bohemia, hasRiver, Berounka]
  • A. Berounka chosen
    Berounka is a major river in western Bohemia in the Czech Republic, known for flowing through the Plzeň Region and eventually joining the Vltava near Prague.
  • B. Bavira
    The Bavira are a Bantu-speaking ethnic group of eastern Democratic Republic of the Congo, known for their agrarian livelihoods and cultural ties with neighboring communities such as the Fuliru.
  • C. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • D. Bebrina
    Bebrina is a municipality and village in eastern Croatia, situated in the Brod-Posavina County along the Sava River.
  • E. Kolina
    Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.