Triple

T17627371
Position Surface form Disambiguated ID Type / Status
Subject Havlíčkův Brod E429882 entity
Predicate locatedOnRiver P165 FINISHED
Object Sázava 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: Sázava | Statement: [Havlíčkův Brod, locatedOnRiver, Sázava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sázava
Context triple: [Havlíčkův Brod, locatedOnRiver, Sázava]
  • A. Sázava chosen
    Sázava is a river in the Czech Republic known for its scenic valleys, historical towns, and popularity for canoeing and recreation.
  • B. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • C. Vsetín
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • D. Zruč nad Sázavou
    Zruč nad Sázavou is a small historic town in the Central Bohemian Region of the Czech Republic, known for its riverside setting, castle, and former industrial (especially shoe-making) tradition.
  • E. Žďár nad Sázavou
    Žďár nad Sázavou is a town in the Vysočina Region of the Czech Republic, known for its historic architecture and proximity to the UNESCO-listed Pilgrimage Church of St John of Nepomuk at Zelená Hora.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbd122c8190a5db8c0088c81034 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.