Triple

T8040645
Position Surface form Disambiguated ID Type / Status
Subject Kölsch E187426 entity
Predicate altName P39 FINISHED
Object Kölsche Sproch E549032 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: Kölsche Sproch | Statement: [Kölsch, altName, Kölsche Sproch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kölsche Sproch
Context triple: [Kölsch, altName, Kölsche Sproch]
  • A. Kölsch dialect chosen
    The Kölsch dialect is a regional variety of the German language spoken in and around Cologne, known for its distinct pronunciation, vocabulary, and strong cultural identity.
  • B. Aachen dialect
    The Aachen dialect is a regional variety of the Ripuarian language spoken in and around the city of Aachen in western Germany, characterized by distinct phonetic and lexical features.
  • C. Rheinwald dialect
    The Rheinwald dialect is a local variety of the Sutsilvan Romansh language spoken in the Rheinwald valley of the Swiss canton of Graubünden.
  • D. Rhenish Franconian
    Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
  • E. Ruhr German
    Ruhr German is a regional German dialect spoken in the Ruhr area of western Germany, characterized by influences from various German dialects and immigrant languages due to the region’s industrial and multicultural history.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1d62c48190bf4a6cd17517c5dc completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5706a4a881909758ea34cf5c0cf2 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.