Triple

T21283365
Position Surface form Disambiguated ID Type / Status
Subject Meierijstad E524587 entity
Predicate borderedBy P224 FINISHED
Object Bernheze
Bernheze is a municipality in the Dutch province of North Brabant, known for its rural character and small towns such as Heesch and Nistelrode.
 E1476049 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: Bernheze | Statement: [Meierijstad, borderedBy, Bernheze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernheze
Context triple: [Meierijstad, borderedBy, Bernheze]
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Béhanzin
    Béhanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
  • C. Boncassen
    Boncassen is the surname of an American academic family featured in Anthony Trollope’s novel "The Duke’s Children."
  • D. Handré
    Handré is a South African rugby union fly-half best known for his key role in the Springboks’ Rugby World Cup victories.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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: Bernheze
Triple: [Meierijstad, borderedBy, Bernheze]
Generated description
Bernheze is a municipality in the Dutch province of North Brabant, known for its rural character and small towns such as Heesch and Nistelrode.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernheze
Target entity description: Bernheze is a municipality in the Dutch province of North Brabant, known for its rural character and small towns such as Heesch and Nistelrode.
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Béhanzin
    Béhanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
  • C. Boncassen
    Boncassen is the surname of an American academic family featured in Anthony Trollope’s novel "The Duke’s Children."
  • D. Handré
    Handré is a South African rugby union fly-half best known for his key role in the Springboks’ Rugby World Cup victories.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980794088190a54f7f00c2d3b3fb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.