Triple

T11323728
Position Surface form Disambiguated ID Type / Status
Subject Altmünster E268155 entity
Predicate locatedIn P40 FINISHED
Object Salzkammergut E373492 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: Salzkammergut | Statement: [Altmünster, locatedIn, Salzkammergut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzkammergut
Context triple: [Altmünster, locatedIn, 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. Waldviertel
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • D. Weinviertel
    Weinviertel is a wine-producing region in northeastern Lower Austria, known for its rolling vineyards and characteristic Grüner Veltliner wines.
  • E. 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.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.