Triple

T5198219
Position Surface form Disambiguated ID Type / Status
Subject Neu-Anif E117324 entity
Predicate locatedInRegion P40 FINISHED
Object Salzburger Land E502517 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: Salzburger Land | Statement: [Neu-Anif, locatedInRegion, Salzburger Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzburger Land
Context triple: [Neu-Anif, locatedInRegion, 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 (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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1f154481908be5d3c9cbbef92a completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7fcae508190bffd21937488d674 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:47 p.m.