Triple

T21394386
Position Surface form Disambiguated ID Type / Status
Subject Česká Lípa E527740 entity
Predicate hasNearbyTown P3883 FINISHED
Object Nový Bor 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: Nový Bor | Statement: [Česká Lípa, hasNearbyTown, Nový Bor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nový Bor
Context triple: [Česká Lípa, hasNearbyTown, Nový Bor]
  • A. Nový Bor chosen
    Nový Bor is a Czech town in the Liberec Region known historically for its glassmaking industry and proximity to the Lusatian Mountains.
  • B. Nové Mesto
    Nové Mesto is a borough of Bratislava, Slovakia, known for its mix of residential areas, sports facilities, and commercial zones.
  • C. Nové Město
    Nové Město is a historic central district of Prague known for its important squares, cultural landmarks, and vibrant urban life.
  • D. Novohrad
    Novohrad is a historical and geographical region in southern Slovakia known for its rural landscapes, traditional culture, and border location near Hungary.
  • E. Nové Hrady
    Nové Hrady is a historic town in the Czech Republic known for its well-preserved castle and location near the Austrian border in the South Bohemian 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.