Triple

T13449364
Position Surface form Disambiguated ID Type / Status
Subject judicial arrondissement of Kortrijk E320567 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Dentergem
Dentergem is a municipality in the Belgian province of West Flanders.
E1073153 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: Dentergem | Statement: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Dentergem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dentergem
Context triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Dentergem]
  • A. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • B. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • C. Avelgem
    Avelgem is a municipality in the Belgian province of West Flanders, known for its rural character and location along the river Scheldt.
  • D. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • E. Anzegem
    Anzegem is a municipality in the Belgian province of West Flanders.
  • 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: Dentergem
Triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Dentergem]
Generated description
Dentergem is a municipality in the Belgian province of West Flanders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dentergem
Target entity description: Dentergem is a municipality in the Belgian province of West Flanders.
  • A. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • B. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • C. Avelgem
    Avelgem is a municipality in the Belgian province of West Flanders, known for its rural character and location along the river Scheldt.
  • D. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • E. Anzegem
    Anzegem is a municipality in the Belgian province of West Flanders.
  • 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_69fbac78104881909ea8d41cfb8d4574 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbae186bb881908ea17ae6b12825af completed May 6, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69fbaebaab508190a609fa151c686a0d completed May 6, 2026, 9:12 p.m.
Created at: April 9, 2026, 9:41 p.m.