Triple

T9876143
Position Surface form Disambiguated ID Type / Status
Subject Svratka E240077 entity
Predicate mouthRiver P4359 FINISHED
Object Svitava E240078 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: Svitava | Statement: [Svratka, mouthRiver, Svitava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svitava
Context triple: [Svratka, mouthRiver, Svitava]
  • A. Svitava chosen
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • B. Zemplín
    Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
  • C. Berounka
    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.
  • D. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • E. Lysá hora
    Lysá hora is the highest peak of the Moravian-Silesian Beskids in the Czech Republic, known for its panoramic views and popular hiking and skiing routes.
  • 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_69d1e47b62388190a033743376500375 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.