Triple

T22219960
Position Surface form Disambiguated ID Type / Status
Subject Riemst E549181 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Bilzen 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: Bilzen | Statement: [Riemst, hasNeighbouringMunicipality, Bilzen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilzen
Context triple: [Riemst, hasNeighbouringMunicipality, Bilzen]
  • A. Bilzen chosen
    Bilzen is a historic city and municipality in the Belgian province of Limburg, known for its medieval heritage and the nearby Alden Biesen Castle.
  • B. Velzeke
    Velzeke is a village in East Flanders, Belgium, known for its archaeological heritage and status as a sub-municipality of Zottegem.
  • C. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • D. Willebroek
    Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
  • E. Borsbeek
    Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8fa3d081908db0a0556b009d8f completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.