Triple

T11630284
Position Surface form Disambiguated ID Type / Status
Subject Attersee E276377 entity
Predicate region P40 FINISHED
Object Salzkammergut resort area 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 resort area | Statement: [Attersee, region, Salzkammergut resort area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzkammergut resort area
Context triple: [Attersee, region, Salzkammergut resort area]
  • 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. Fuschl am See
    Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
  • C. Gastein Valley
    Gastein Valley is a renowned alpine valley in Austria famous for its spa towns, thermal springs, and skiing within the Hohe Tauern mountain range.
  • D. Neutraubling
    Neutraubling is a town in Bavaria, Germany, located near the city of Regensburg and known for its post-World War II development and industrial presence.
  • E. Neusiedl am See
    Neusiedl am See is a small Austrian town on the northern shore of Lake Neusiedl, known for its wine production and water sports tourism.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fa01ba88190a4fa5a74fe96cfa9 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:39 p.m.