Triple

T18342497
Position Surface form Disambiguated ID Type / Status
Subject Yosef Haim Brenner E439445 entity
Predicate birthPlace P1 FINISHED
Object Novi Mlyny 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: Novi Mlyny | Statement: [Yosef Haim Brenner, birthPlace, Novi Mlyny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi Mlyny
Context triple: [Yosef Haim Brenner, birthPlace, Novi Mlyny]
  • A. Mlyny chosen
    Mlyny is a village in present-day Poland historically associated with Ukrainian cultural figures, including as the place where composer Mykhailo Verbytsky died.
  • B. Novohrad
    Novohrad is a historical and geographical region in southern Slovakia known for its rural landscapes, traditional culture, and border location near Hungary.
  • C. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • D. Blansko
    Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
  • E. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f188e081909cdbce61a21b9591 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.