Triple

T5952237
Position Surface form Disambiguated ID Type / Status
Subject Assen E132426 entity
Predicate hasSubdivision P747 FINISHED
Object Baggelhuizen
Baggelhuizen is a neighborhood of the city of Assen in the province of Drenthe in the Netherlands.
 E557905 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: Baggelhuizen | Statement: [Assen, hasSubdivision, Baggelhuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baggelhuizen
Context triple: [Assen, hasSubdivision, Baggelhuizen]
  • A. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • B. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Achthuizen
    Achthuizen is a small village in the western Netherlands, located in the province of South Holland.
  • E. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • 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: Baggelhuizen
Triple: [Assen, hasSubdivision, Baggelhuizen]
Generated description
Baggelhuizen is a neighborhood of the city of Assen in the province of Drenthe in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baggelhuizen
Target entity description: Baggelhuizen is a neighborhood of the city of Assen in the province of Drenthe in the Netherlands.
  • A. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • B. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Achthuizen
    Achthuizen is a small village in the western Netherlands, located in the province of South Holland.
  • E. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.