Triple

T5843393
Position Surface form Disambiguated ID Type / Status
Subject Geert Bourgeois E129646 entity
Predicate residence P75 FINISHED
Object Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
 E656791 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: Izegem | Statement: [Geert Bourgeois, residence, Izegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Izegem
Context triple: [Geert Bourgeois, residence, Izegem]
  • A. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • B. 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.
  • C. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • D. Aalst
    Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
  • E. Zonhoven
    Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
  • 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: Izegem
Triple: [Geert Bourgeois, residence, Izegem]
Generated description
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Izegem
Target entity description: Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • A. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • B. 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.
  • C. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • D. Aalst
    Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
  • E. Zonhoven
    Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d9da0c8190970319d0dc2fc73f completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eea9112c8190b0f0040afbf916ce completed March 28, 2026, 3:07 p.m.
NEDg Description generation batch_69c7ef6cf4208190b6242aaea1e20b8e completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f01543e8819082bf2dfd49d8fb28 completed March 28, 2026, 3:13 p.m.
Created at: March 22, 2026, 3:54 p.m.