Triple

T8641437
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Oudenaarde E204657 entity
Predicate contains P35 FINISHED
Object Kluisbergen
Kluisbergen is a municipality in the Belgian province of East Flanders, known for its scenic hilly landscapes and cycling routes in the Flemish Ardennes.
E747367 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: Kluisbergen | Statement: [Arrondissement of Oudenaarde, contains, Kluisbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kluisbergen
Context triple: [Arrondissement of Oudenaarde, contains, Kluisbergen]
  • A. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • B. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • C. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • D. Kleverskerke
    Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
  • E. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • 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: Kluisbergen
Triple: [Arrondissement of Oudenaarde, contains, Kluisbergen]
Generated description
Kluisbergen is a municipality in the Belgian province of East Flanders, known for its scenic hilly landscapes and cycling routes in the Flemish Ardennes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kluisbergen
Target entity description: Kluisbergen is a municipality in the Belgian province of East Flanders, known for its scenic hilly landscapes and cycling routes in the Flemish Ardennes.
  • A. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • B. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • C. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • D. Kleverskerke
    Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
  • E. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • 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.