Triple

T1753636
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Belgium E38502 entity
Predicate containsSettlement P847 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: [German-speaking Belgium, containsSettlement, Burg-Reuland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burg-Reuland
Context triple: [German-speaking Belgium, containsSettlement, 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. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • D. 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.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d7ab1a88190b7a5baabf4742fdd completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:31 p.m.