Triple

T10657928
Position Surface form Disambiguated ID Type / Status
Subject Roeselare E251142 entity
Predicate subdivision P747 FINISHED
Object Beveren
Beveren is a district of the Belgian city of Roeselare, located in the province of West Flanders.
 E881694 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: Beveren | Statement: [Roeselare, subdivision, Beveren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beveren
Context triple: [Roeselare, subdivision, Beveren]
  • A. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • B. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • 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. 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.
  • E. Aartselaar
    Aartselaar is a municipality in the Belgian province of Antwerp, known for its residential character and proximity to the city of Antwerp.
  • 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: Beveren
Triple: [Roeselare, subdivision, Beveren]
Generated description
Beveren is a district of the Belgian city of Roeselare, located in the province of West Flanders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beveren
Target entity description: Beveren is a district of the Belgian city of Roeselare, located in the province of West Flanders.
  • A. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • B. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • 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. 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.
  • E. Aartselaar
    Aartselaar is a municipality in the Belgian province of Antwerp, known for its residential character and proximity to the city of Antwerp.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e01643a88190abc7c16fd0f85e53 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6f0eee08190b4187671356e47ca completed April 12, 2026, 3:14 p.m.
NEDg Description generation batch_69dbbb8b0e5c8190afa9aaa134bcebf2 completed April 12, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69dbbc3ce1008190a16d442a22d45967 completed April 12, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:07 p.m.