Triple

T5798220
Position Surface form Disambiguated ID Type / Status
Subject Colognian E128558 entity
Predicate hasDialect P4251 FINISHED
Object Stadt-Kölsch E187426 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: Stadt-Kölsch | Statement: [Colognian, hasDialect, Stadt-Kölsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt-Kölsch
Context triple: [Colognian, hasDialect, Stadt-Kölsch]
  • A. Kölsch chosen
    Kölsch is a Ripuarian dialect of the German language traditionally spoken in and around the city of Cologne.
  • B. Kellerbier
    Kellerbier is a traditional unfiltered and naturally carbonated German lager, especially associated with the Franconia (Franken) region, known for its fresh, cellar-served character.
  • C. Oktoberfestbier
    Oktoberfestbier is a special, stronger Märzen-style lager brewed by Munich breweries specifically for serving at the annual Oktoberfest celebration.
  • D. Grimbergen
    Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
  • E. Andechser Weissbier Hell
    Andechser Weissbier Hell is a pale Bavarian wheat beer brewed by the monastic brewery of Andechs Abbey, known for its refreshing, mildly fruity character and traditional craftsmanship.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a959b108190a7408560e1b34cd2 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098302d4c81908b56747d304b3e6a completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.