Triple

T19630907
Position Surface form Disambiguated ID Type / Status
Subject Mortsel E471264 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Kontich 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: Kontich | Statement: [Mortsel, hasNeighbouringMunicipality, Kontich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kontich
Context triple: [Mortsel, hasNeighbouringMunicipality, Kontich]
  • A. Kontich chosen
    Kontich is a municipality in the Flemish Region of Belgium, situated between Antwerp and Mechelen and known for its residential character and local industry.
  • B. Kruibeke
    Kruibeke is a municipality in the Belgian province of East Flanders, known for its rural character and location along the Scheldt River.
  • C. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • D. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • E. Wommelgem
    Wommelgem is a 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641025d708190aa44bb24671b9455 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.