Triple

T7776875
Position Surface form Disambiguated ID Type / Status
Subject Saletbach E221415 entity
Predicate locatedIn P40 FINISHED
Object Berchtesgadener Land E221414 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: Berchtesgadener Land | Statement: [Saletbach, locatedIn, Berchtesgadener Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berchtesgadener Land
Context triple: [Saletbach, locatedIn, Berchtesgadener Land]
  • A. Berchtesgadener Land district chosen
    Berchtesgadener Land district is a scenic alpine district in southeastern Bavaria, Germany, known for its dramatic mountain landscapes, lakes, and proximity to the Austrian border.
  • 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. Mühlviertel
    Mühlviertel is a rural, hilly region in northern Upper Austria known for its forests, granite landscapes, and traditional villages.
  • E. Chiemgau region
    The Chiemgau region is a picturesque area in southeastern Bavaria, Germany, known for its lakes, rolling Alpine foothills, and popular outdoor recreation opportunities.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d22ee081908081b5f5ecdb4d39 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb136bafb88190a6f980622317df76 completed March 31, 2026, 12:20 a.m.
Created at: March 30, 2026, 4:12 p.m.