Triple

T17523228
Position Surface form Disambiguated ID Type / Status
Subject Brno-Country District E426728 entity
Predicate hasMunicipality P847 FINISHED
Object Kuřim 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: Kuřim | Statement: [Brno-Country District, hasMunicipality, Kuřim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuřim
Context triple: [Brno-Country District, hasMunicipality, Kuřim]
  • A. Kuřim chosen
    Kuřim is a small industrial town in the South Moravian Region of the Czech Republic, located just northwest of Brno.
  • B. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • C. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • D. Vrútky
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • E. Weißer Kocher
    Weißer Kocher is one of the two headstreams that form the Kocher River in the German state of Baden-Württemberg.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.