Triple

T6013340
Position Surface form Disambiguated ID Type / Status
Subject Bart De Wever E133886 entity
Predicate birthPlace P1 FINISHED
Object Mortsel
Mortsel is a municipality in the Belgian province of Antwerp, known as a residential suburb of the city of Antwerp.
 E661914 NE FINISHED

How this triple was built (4 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: Mortsel | Statement: [Bart De Wever, birthPlace, Mortsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mortsel
Context triple: [Bart De Wever, birthPlace, Mortsel]
  • A. Diepenbeek
    Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
  • B. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • C. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • D. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • E. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mortsel
Triple: [Bart De Wever, birthPlace, Mortsel]
Generated description
Mortsel is a municipality in the Belgian province of Antwerp, known as a residential suburb of the city of Antwerp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mortsel
Target entity description: Mortsel is a municipality in the Belgian province of Antwerp, known as a residential suburb of the city of Antwerp.
  • A. Diepenbeek
    Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
  • B. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • C. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • D. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • E. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • F. None of above. chosen

Provenance (5 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8108dda308190bb3b7209efe132bb completed March 28, 2026, 5:31 p.m.
NEDg Description generation batch_69c8122368b88190812f02f0c4bb3953 completed March 28, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69c812c1e9d08190b0e7f052d87011b9 completed March 28, 2026, 5:41 p.m.
Created at: March 22, 2026, 4:06 p.m.