Triple

T8641442
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Oudenaarde E204657 entity
Predicate contains P35 FINISHED
Object Zwalm
Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
 E747369 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: Zwalm | Statement: [Arrondissement of Oudenaarde, contains, Zwalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zwalm
Context triple: [Arrondissement of Oudenaarde, contains, Zwalm]
  • A. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • B. Westzaan
    Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
  • C. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • D. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • E. Zuiderwoude
    Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
  • 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: Zwalm
Triple: [Arrondissement of Oudenaarde, contains, Zwalm]
Generated description
Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zwalm
Target entity description: Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
  • A. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • B. Westzaan
    Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
  • C. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • D. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • E. Zuiderwoude
    Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4795b07081908bfc9ebf35a50f07 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cebf12eec081909c40ccced9c1c52b completed April 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69cebf7302b08190bdfc84aac3147954 completed April 2, 2026, 7:11 p.m.
Created at: March 30, 2026, 6:28 p.m.