Triple

T16398323
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar region E398242 entity
Predicate contains P35 FINISHED
Object St. Georgen im Schwarzwald E344274 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: St. Georgen im Schwarzwald | Statement: [Schwarzwald-Baar region, contains, 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 region, contains, 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 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.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Geroldswil
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.