Triple

T7620364
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Antwerp E172475 entity
Predicate contains P35 FINISHED
Object Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
 E692506 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: Edegem | Statement: [Arrondissement of Antwerp, contains, Edegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edegem
Context triple: [Arrondissement of Antwerp, contains, Edegem]
  • A. 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.
  • B. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • C. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • D. Mechelen
    Mechelen is a historic city in the Flemish region of Belgium, known for its rich architectural heritage, medieval center, and prominent role in the Low Countries’ political and religious history.
  • E. Tervuren
    Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
  • 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: Edegem
Triple: [Arrondissement of Antwerp, contains, Edegem]
Generated description
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edegem
Target entity description: Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
  • A. 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.
  • B. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • C. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • D. Mechelen
    Mechelen is a historic city in the Flemish region of Belgium, known for its rich architectural heritage, medieval center, and prominent role in the Low Countries’ political and religious history.
  • E. Tervuren
    Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
  • 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_69ca47023570819082904801962f8dcb completed March 30, 2026, 9:48 a.m.
NEDg Description generation batch_69ca47972d688190ac7a81dab08fde11 completed March 30, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ca483184708190a30d53a0041db6a7 completed March 30, 2026, 9:53 a.m.
Created at: March 27, 2026, 3:55 p.m.