Triple

T20366500
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar-Kreis E496922 entity
Predicate hasMunicipality P847 FINISHED
Object St. Georgen im Schwarzwald NE NERFINISHED

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: St. Georgen im Schwarzwald | Statement: [Schwarzwald-Baar-Kreis, hasMunicipality, St. Georgen im Schwarzwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Georgen im Schwarzwald
Context triple: [Schwarzwald-Baar-Kreis, hasMunicipality, St. Georgen im Schwarzwald]
  • A. St. Georgen im Schwarzwald chosen
    St. Georgen im Schwarzwald is a small town in Germany’s Black Forest region known for its high-altitude setting and surrounding forested landscapes.
  • B. St. Georgen
    St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
  • C. Sankt Georgen im Attergau
    Sankt Georgen im Attergau is a market town in the Salzkammergut region of Upper Austria, known for its scenic setting near Lake Attersee.
  • D. Gechingen
    Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
  • E. Sankt Georgen im Schwarzwald, Germany
    Sankt Georgen im Schwarzwald is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscapes and traditional watchmaking heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.