Triple

T20099372
Position Surface form Disambiguated ID Type / Status
Subject Dornbirn E496491 entity
Predicate memberOf P10 FINISHED
Object Rheintal-Bodensee metropolitan region — NE NERFINISHED

How this triple was built (3 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: Rheintal-Bodensee metropolitan region | Statement: [Dornbirn, memberOf, Rheintal-Bodensee metropolitan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rheintal-Bodensee metropolitan region
Context triple: [Dornbirn, memberOf, Rheintal-Bodensee metropolitan region]
  • A. Rhine-Ruhr metropolitan region
    The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
  • B. Neckar-Alb metropolitan region
    The Neckar-Alb metropolitan region is an economic and cultural area in the German state of Baden-Württemberg, centered around the cities of Tübingen, Reutlingen, and Zollernalb, known for its industry, research institutions, and scenic landscapes.
  • C. Rhine-Neckar metropolitan region
    The Rhine-Neckar metropolitan region is a major trans-state urban and economic area in southwestern Germany centered around the cities of Mannheim, Ludwigshafen, and Heidelberg.
  • D. Rhine-Main metropolitan region
    The Rhine-Main metropolitan region is a major German urban and economic hub centered around Frankfurt am Main, known for its finance, transport, and service industries.
  • E. Bergisches Land metropolitan region
    The Bergisches Land metropolitan region is an urbanized area in western Germany characterized by its hilly landscape, industrial heritage, and network of medium-sized cities east of the Rhine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rheintal-Bodensee metropolitan region
Target entity description: The Rheintal-Bodensee metropolitan region is a cross-border economic and cultural area around the Rhine Valley and Lake Constance, spanning parts of Austria, Switzerland, Germany, and Liechtenstein.
  • A. Rhine-Ruhr metropolitan region
    The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
  • B. Neckar-Alb metropolitan region
    The Neckar-Alb metropolitan region is an economic and cultural area in the German state of Baden-Württemberg, centered around the cities of Tübingen, Reutlingen, and Zollernalb, known for its industry, research institutions, and scenic landscapes.
  • C. Rhine-Neckar metropolitan region
    The Rhine-Neckar metropolitan region is a major trans-state urban and economic area in southwestern Germany centered around the cities of Mannheim, Ludwigshafen, and Heidelberg.
  • D. Rhine-Main metropolitan region
    The Rhine-Main metropolitan region is a major German urban and economic hub centered around Frankfurt am Main, known for its finance, transport, and service industries.
  • E. Bergisches Land metropolitan region
    The Bergisches Land metropolitan region is an urbanized area in western Germany characterized by its hilly landscape, industrial heritage, and network of medium-sized cities east of the Rhine.
  • F. None of above. chosen

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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666f2298819089659f13556ca305 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.