Triple

T20168580
Position Surface form Disambiguated ID Type / Status
Subject Großvenediger E491892 entity
Predicate touristRegion P3030 FINISHED
Object Salzburger Land 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: Salzburger Land | Statement: [Großvenediger, touristRegion, Salzburger Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzburger Land
Context triple: [Großvenediger, touristRegion, Salzburger Land]
  • A. Salzburger Land chosen
    Salzburger Land is a federal state in western Austria known for its Alpine landscapes, lakes, and the historic city of Salzburg.
  • B. Salzkammergut
    Salzkammergut is a picturesque lake and mountain region in Austria renowned for its alpine scenery, historic spa towns, and cultural heritage.
  • C. Inn-Salzach region
    The Inn-Salzach region is a cultural and historical area in southeastern Bavaria, Germany, known for its distinctive colorful townhouses, baroque architecture, and location along the rivers Inn and Salzach.
  • D. Waldviertel
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • E. 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.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66846f4ec81908b0dc6a6e0ec27dd completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.