Triple

T20305370
Position Surface form Disambiguated ID Type / Status
Subject Vöcklabruck District E505595 entity
Predicate locatedInRegion P40 FINISHED
Object Salzkammergut 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: Salzkammergut | Statement: [Vöcklabruck District, locatedInRegion, Salzkammergut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzkammergut
Context triple: [Vöcklabruck District, locatedInRegion, Salzkammergut]
  • A. Salzkammergut chosen
    Salzkammergut is a picturesque lake and mountain region in Austria renowned for its alpine scenery, historic spa towns, and cultural heritage.
  • B. Salzburger Land
    Salzburger Land is a federal state in western Austria known for its Alpine landscapes, lakes, and the historic city of Salzburg.
  • C. Scharnachtal
    Scharnachtal is a small settlement in the Bernese Oberland region of Switzerland, situated within the municipality of Reichenbach im Kandertal.
  • D. Waldviertel
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • E. Weinviertel
    Weinviertel is a wine-producing region in northeastern Lower Austria, known for its rolling vineyards and characteristic Grüner Veltliner wines.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773f8f688190b616f972b9bbb28e completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.