Triple

T17799802
Position Surface form Disambiguated ID Type / Status
Subject Dagstuhl Castle E444390 entity
Predicate region P40 FINISHED
Object Saar-Hunsrück 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: Saar-Hunsrück | Statement: [Dagstuhl Castle, region, Saar-Hunsrück]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saar-Hunsrück
Context triple: [Dagstuhl Castle, region, Saar-Hunsrück]
  • A. Hunsrück chosen
    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.
  • B. Sundgau
    Sundgau is a rural, hilly region in southern Alsace, France, known for its traditional villages, forests, and distinctive Alsatian culture.
  • C. Westerwald
    Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
  • D. Breisgau
    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.
  • E. Vosges region
    The Vosges region is a mountainous area in northeastern France known for its forested peaks, scenic valleys, and role in early Renaissance humanist and cartographic activity.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fe19dc8190b7e9dc96f39e0861 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.