Triple

T2400217
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Verviers E47747 entity
Predicate contains P35 FINISHED
Object Burg-Reuland E238426 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: Burg-Reuland | Statement: [Arrondissement of Verviers, contains, Burg-Reuland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burg-Reuland
Context triple: [Arrondissement of Verviers, contains, Burg-Reuland]
  • A. Burg-Reuland chosen
    Burg-Reuland is a municipality in the Belgian province of Liège, known for its historic castle ruins and location in the German-speaking region of eastern Belgium.
  • B. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • C. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09b92048190acfa3a85417f259c completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:57 p.m.