Triple

T16542832
Position Surface form Disambiguated ID Type / Status
Subject Schönau im Schwarzwald E401861 entity
Predicate locatedNear P294 FINISHED
Object Todtnau E416898 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: Todtnau | Statement: [Schönau im Schwarzwald, locatedNear, Todtnau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todtnau
Context triple: [Schönau im Schwarzwald, locatedNear, Todtnau]
  • A. Todtnau chosen
    Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
  • B. Pöstlingberg
    Pöstlingberg is a prominent hill overlooking the city of Linz in Austria, known for its pilgrimage basilica and panoramic views over the Danube and surrounding region.
  • C. Ziegenberg
    Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
  • D. Vogelsberg
    Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
  • E. Schneeberg
    Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455db6788190b929546050ea2488 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ac013c81909ce7055de4f12e58 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:15 a.m.