Triple

T7620377
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Antwerp E172475 entity
Predicate contains P35 FINISHED
Object Wijnegem
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.
 E692578 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: Wijnegem | Statement: [Arrondissement of Antwerp, contains, Wijnegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wijnegem
Context triple: [Arrondissement of Antwerp, contains, Wijnegem]
  • A. Willebroek
    Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • D. Zonhoven
    Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
  • E. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • 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: Wijnegem
Triple: [Arrondissement of Antwerp, contains, Wijnegem]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wijnegem
Target entity description: 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.
  • A. Willebroek
    Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • D. Zonhoven
    Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
  • E. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca621ce1b881908ed8145e0088ea3f completed March 30, 2026, 11:44 a.m.
NEDg Description generation batch_69ca629206f48190bc29ffda7c8865ee completed March 30, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69ca62e497288190adfe0181ea194af4 completed March 30, 2026, 11:47 a.m.
Created at: March 27, 2026, 3:55 p.m.