Triple

T21335847
Position Surface form Disambiguated ID Type / Status
Subject Belfry of Roesbrugge-Haringe E526043 entity
Predicate locatedIn P40 FINISHED
Object Poperinge NE NERFINISHED

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: Poperinge | Statement: [Belfry of Roesbrugge-Haringe, locatedIn, Poperinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poperinge
Context triple: [Belfry of Roesbrugge-Haringe, locatedIn, Poperinge]
  • A. Poperinge chosen
    Poperinge is a Belgian town in West Flanders known for its hop-growing tradition and historic role as a rear-area center during World War I.
  • B. Torhout
    Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
  • C. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • D. Beringen
    Beringen is a municipality in northern Switzerland known for its location near the Rhine and its surrounding vineyards and rural landscapes.
  • E. Beringen
    Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.