Triple

T5197994
Position Surface form Disambiguated ID Type / Status
Subject Ripuarian E117319 entity
Predicate spokenIn P2266 FINISHED
Object Cologne region E149906 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: Cologne region | Statement: [Ripuarian, spokenIn, Cologne region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cologne region
Context triple: [Ripuarian, spokenIn, Cologne region]
  • A. Bergisches Land
    Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
  • B. Cologne Bonn metropolitan region chosen
    The Cologne Bonn metropolitan region is a major urban and economic area in western Germany centered around the cities of Cologne and Bonn and their surrounding municipalities.
  • C. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • D. South Westphalia
    South Westphalia is a region in western Germany known for its mixed industrial and rural character, encompassing parts of North Rhine-Westphalia including the Arnsberg area.
  • E. 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.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21a819f08190a67a92d8afa82e22 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:47 p.m.