Triple

T20644880
Position Surface form Disambiguated ID Type / Status
Subject Gmunden District E507327 entity
Predicate partOfRegion P285 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: [Gmunden District, partOfRegion, Salzkammergut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzkammergut
Context triple: [Gmunden District, partOfRegion, 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. Salzburger Seenland
    Salzburger Seenland is a scenic lake district and popular holiday region in the state of Salzburg, Austria, known for its bathing lakes, cycling routes, and rural charm.
  • D. Scharnachtal
    Scharnachtal is a small settlement in the Bernese Oberland region of Switzerland, situated within the municipality of Reichenbach im Kandertal.
  • E. Waldviertel
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.