Triple

T21493295
Position Surface form Disambiguated ID Type / Status
Subject Wijnegem locks E530289 entity
Predicate locatedIn P40 FINISHED
Object Wijnegem 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: Wijnegem | Statement: [Wijnegem locks, locatedIn, Wijnegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijnegem
Context triple: [Wijnegem locks, locatedIn, Wijnegem]
  • A. Wijnegem chosen
    Wijnegem is a municipality in the Belgian province of Antwerp, known in part for hosting one of the largest shopping centers in the Benelux region.
  • B. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • C. Lievegem
    Lievegem is a municipality in the Belgian province of East Flanders, formed by the merger of several former municipalities and situated within the region around the city of Ghent.
  • D. Anzegem
    Anzegem is a municipality in the Belgian province of West Flanders.
  • E. Avelgem
    Avelgem is a municipality in the Belgian province of West Flanders, known for its rural character and location along the river Scheldt.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea54fb608190a147cd8aa6d6d04b completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:23 p.m.