Triple

T19438435
Position Surface form Disambiguated ID Type / Status
Subject Merelbeke E486284 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Oosterzele 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: Oosterzele | Statement: [Merelbeke, hasNeighbouringMunicipality, Oosterzele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oosterzele
Context triple: [Merelbeke, hasNeighbouringMunicipality, Oosterzele]
  • A. Oosterzele chosen
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • B. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • C. Oostzaan
    Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
  • D. Vriescheloo
    Vriescheloo is a small village in the province of Groningen in the Netherlands, known for its rural character and historic ribbon-shaped settlement pattern.
  • E. Eersel
    Eersel is a municipality in the southern Netherlands, known for its historic village center and location within the province of North Brabant.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336281b88190b1e5ad2606d7c314 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.