Triple

T13739599
Position Surface form Disambiguated ID Type / Status
Subject Geraardsbergen E330048 entity
Predicate contains P35 FINISHED
Object Zandbergen
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
E1072514 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: Zandbergen | Statement: [Geraardsbergen, contains, Zandbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zandbergen
Context triple: [Geraardsbergen, contains, Zandbergen]
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • C. Oegstgeest
    Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Kropswolde
    Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
  • 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: Zandbergen
Triple: [Geraardsbergen, contains, Zandbergen]
Generated description
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zandbergen
Target entity description: Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • C. Oegstgeest
    Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Kropswolde
    Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b661e4819087bac0cd84489baa completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba7f116608190b664d0dc8027af38 completed May 6, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69fba8fe11c881908662d8e8e1720ea4 completed May 6, 2026, 8:47 p.m.
Created at: April 9, 2026, 9:55 p.m.