Triple

T1876338
Position Surface form Disambiguated ID Type / Status
Subject Kaag en Braassem E39152 entity
Predicate hasSettlement P1068 FINISHED
Object Woubrugge
Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
E235826 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: Woubrugge | Statement: [Kaag en Braassem, hasSettlement, Woubrugge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woubrugge
Context triple: [Kaag en Braassem, hasSettlement, Woubrugge]
  • A. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • B. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • C. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • D. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • E. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • 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: Woubrugge
Triple: [Kaag en Braassem, hasSettlement, Woubrugge]
Generated description
Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woubrugge
Target entity description: Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
  • A. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • B. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • C. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • D. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • E. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d902ac8190a2d9bb6f683986e4 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516ffd088190ae2c730e1caff8f6 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae5209ae40819095e02cafb8112a1f completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae529375788190aead19ec0874f11e completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:34 p.m.