Triple

T14903115
Position Surface form Disambiguated ID Type / Status
Subject Breisach am Rhein E360057 entity
Predicate locatedInRegion P40 FINISHED
Object Breisgau E282574 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: Breisgau | Statement: [Breisach am Rhein, locatedInRegion, Breisgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breisgau
Context triple: [Breisach am Rhein, locatedInRegion, Breisgau]
  • A. Breisgau chosen
    Breisgau is a historic region in southwestern Germany along the Upper Rhine, known for its mild climate, wine production, and the city of Freiburg im Breisgau.
  • B. Breisgau-Hochschwarzwald
    Breisgau-Hochschwarzwald is a rural district in the southwest of Germany’s Baden-Württemberg state, encompassing parts of the Black Forest and the Upper Rhine Valley and known for its forests, lakes, and wine-growing areas.
  • C. Sundgau
    Sundgau is a rural, hilly region in southern Alsace, France, known for its traditional villages, forests, and distinctive Alsatian culture.
  • D. Westerwald
    Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
  • E. Hunsrück
    Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bcf32a48190b1f036016f2689b7 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:11 a.m.