Triple

T16847268
Position Surface form Disambiguated ID Type / Status
Subject Lužnice River E409576 entity
Predicate sourceRegion P410 FINISHED
Object Waldviertel E166861 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: Waldviertel | Statement: [Lužnice River, sourceRegion, Waldviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldviertel
Context triple: [Lužnice River, sourceRegion, Waldviertel]
  • A. Waldviertel chosen
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • B. Mühlviertel
    Mühlviertel is a rural, hilly region in northern Upper Austria known for its forests, granite landscapes, and traditional villages.
  • C. Traunviertel
    Traunviertel is a historical and geographical region in southeastern Upper Austria, characterized by the Traun River, Alpine foothills, and a mix of industrial towns and rural landscapes.
  • D. Weinviertel
    Weinviertel is a wine-producing region in northeastern Lower Austria, known for its rolling vineyards and characteristic Grüner Veltliner wines.
  • E. Salzburger Land
    Salzburger Land is a federal state in western Austria known for its Alpine landscapes, lakes, and the historic city of Salzburg.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b354eaf081908fe6f84a330d7866 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d452505c8190b6d37b54b2f665f0 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:24 a.m.