Triple

T7994848
Position Surface form Disambiguated ID Type / Status
Subject Bogatynia E186097 entity
Predicate hasCzechName P17790 FINISHED
Object Bogatyně E186097 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: Bogatyně | Statement: [Bogatynia, hasCzechName, Bogatyně]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogatyně
Context triple: [Bogatynia, hasCzechName, Bogatyně]
  • A. Bogatynia chosen
    Bogatynia is a town in southwestern Poland near the Czech and German borders, known for its lignite mining and power industry.
  • B. Dědice
    Dědice is a locality in the Czech Republic known as the birthplace of communist leader and former Czechoslovak president Klement Gottwald.
  • C. Lady of Mělník
    Lady of Mělník was a noble title associated with the Bohemian estates, notably borne by Queen Barbara of Cilli as part of her extensive landholdings and influence in the Kingdom of Bohemia.
  • D. Pošeň
    Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • E. Ratne
    Ratne is a small town in northwestern Ukraine known for its historical roots in the Volyn region near the Belarusian border.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe105d400819096ba271416bb24e7 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.