Triple

T13449359
Position Surface form Disambiguated ID Type / Status
Subject judicial arrondissement of Kortrijk E320567 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Ledegem
Ledegem is a municipality in the Belgian province of West Flanders.
E1065989 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: Ledegem | Statement: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Ledegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ledegem
Context triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Ledegem]
  • A. Edegem
    Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • D. Harelbeke
    Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
  • E. 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.
  • 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: Ledegem
Triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Ledegem]
Generated description
Ledegem is a municipality in the Belgian province of West Flanders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ledegem
Target entity description: Ledegem is a municipality in the Belgian province of West Flanders.
  • A. Edegem
    Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • D. Harelbeke
    Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
  • E. 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.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d591648190beb4430c6b199eb8 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 9:41 p.m.