Triple

T14977642
Position Surface form Disambiguated ID Type / Status
Subject Salzkammergut E373492 entity
Predicate contains P35 FINISHED
Object Obertraun E957518 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: Obertraun | Statement: [Salzkammergut, contains, Obertraun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obertraun
Context triple: [Salzkammergut, contains, Obertraun]
  • A. Obertraun chosen
    Obertraun is a small Austrian village in the Salzkammergut region, known for its alpine scenery and proximity to the Dachstein mountains and Hallstatt.
  • B. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • C. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • D. Reischach
    Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
  • E. Oberaurach
    Oberaurach is a small municipality in the Haßberge region of northern Bavaria, Germany, known for its rural character and Franconian countryside.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec8741c048190b549782f49969f6a completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:51 a.m.