Triple

T2136279
Position Surface form Disambiguated ID Type / Status
Subject Brandenburg E46660 entity
Predicate hasRegion P285 FINISHED
Object Lausitz E63913 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: Lausitz | Statement: [Brandenburg, hasRegion, Lausitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lausitz
Context triple: [Brandenburg, hasRegion, Lausitz]
  • A. Lusatia chosen
    Lusatia is a historical region in Central Europe, spanning parts of eastern Germany and western Poland, known for its distinct Sorbian (West Slavic) cultural and linguistic heritage.
  • B. Vogtland
    Vogtland is a hilly, historically rich region in central Europe spanning parts of Saxony, Thuringia, Bavaria, and the Czech Republic, known for its musical instrument making and scenic landscapes.
  • C. Uckermark
    Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
  • D. Unstrut River region
    The Unstrut River region is a historical landscape in central Germany characterized by the Unstrut River and its surrounding valleys, towns, and agricultural areas.
  • E. Mecklenburg Lake District
    The Mecklenburg Lake District is a vast region of interconnected lakes, rivers, and wetlands in northeastern Germany, renowned for its unspoiled nature, water sports, and scenic rural landscapes.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6533c7f081909860c89a2a53ad49 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.