Triple

T18085225
Position Surface form Disambiguated ID Type / Status
Subject Steenwijkerland E432815 entity
Predicate formedByMergerOf P77 FINISHED
Object Brederwiede
Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
E1316595 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: Brederwiede | Statement: [Steenwijkerland, formedByMergerOf, Brederwiede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brederwiede
Context triple: [Steenwijkerland, formedByMergerOf, Brederwiede]
  • A. Scheerwolde
    Scheerwolde is a small village in the Dutch province of Overijssel, located in the municipality of Steenwijkerland.
  • B. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • C. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • D. Biesbosch
    Biesbosch is a large freshwater tidal wetland and national park in the Netherlands, known for its intricate network of rivers, creeks, and rich birdlife.
  • E. Oud-Waterschei
    Oud-Waterschei is a neighborhood of the Belgian city of Genk, historically known for its coal mining heritage and associated garden city architecture.
  • 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: Brederwiede
Triple: [Steenwijkerland, formedByMergerOf, Brederwiede]
Generated description
Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brederwiede
Target entity description: Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
  • A. Scheerwolde
    Scheerwolde is a small village in the Dutch province of Overijssel, located in the municipality of Steenwijkerland.
  • B. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • C. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • D. Biesbosch
    Biesbosch is a large freshwater tidal wetland and national park in the Netherlands, known for its intricate network of rivers, creeks, and rich birdlife.
  • E. Oud-Waterschei
    Oud-Waterschei is a neighborhood of the Belgian city of Genk, historically known for its coal mining heritage and associated garden city architecture.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb437384819099d5e51ae9151786 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbfa0da481908bb0e388dcbe9913 completed May 12, 2026, 11:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03bd6078b88190887a32099fc31db0 completed May 12, 2026, 11:53 p.m.
Created at: April 10, 2026, 10:27 a.m.