Triple

T18304320
Position Surface form Disambiguated ID Type / Status
Subject Wedde E438442 entity
Predicate previousMunicipality P5557 FINISHED
Object Bellingwedde
Bellingwedde was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and small villages near the German border.
E1327717 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: Bellingwedde | Statement: [Wedde, previousMunicipality, Bellingwedde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellingwedde
Context triple: [Wedde, previousMunicipality, Bellingwedde]
  • A. Brederwiede
    Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
  • B. Scheerwolde
    Scheerwolde is a small village in the Dutch province of Overijssel, located in the municipality of Steenwijkerland.
  • C. Paterswolde
    Paterswolde is a village in the Dutch province of Drenthe, known for its proximity to the Paterswoldsemeer lake and its suburban character near the city of Groningen.
  • D. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • E. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • 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: Bellingwedde
Triple: [Wedde, previousMunicipality, Bellingwedde]
Generated description
Bellingwedde was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and small villages near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bellingwedde
Target entity description: Bellingwedde was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and small villages near the German border.
  • A. Brederwiede
    Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
  • B. Scheerwolde
    Scheerwolde is a small village in the Dutch province of Overijssel, located in the municipality of Steenwijkerland.
  • C. Paterswolde
    Paterswolde is a village in the Dutch province of Drenthe, known for its proximity to the Paterswoldsemeer lake and its suburban character near the city of Groningen.
  • D. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • E. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018256508190b024980e3a4a3ae9 completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0471296c7481909b965ab1c53cbc73 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a047af5116c8190b04f8f20e7062352 completed May 13, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a047b4272688190a7f3cb839852e640 completed May 13, 2026, 1:23 p.m.
Created at: April 10, 2026, 10:35 a.m.