Triple

T5198307
Position Surface form Disambiguated ID Type / Status
Subject Salzach River E117327 entity
Predicate nearbyRegion P2064 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: [Salzach River, nearbyRegion, Berchtesgadener Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berchtesgadener Land
Context triple: [Salzach River, nearbyRegion, 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_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_69bf06ac60448190a2e97a4df03863ea completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:47 p.m.