Triple

T1135675
Position Surface form Disambiguated ID Type / Status
Subject Bonn E23133 entity
Predicate hasSubdivision P747 FINISHED
Object Beuel
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
 E146557 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: Beuel | Statement: [Bonn, hasSubdivision, Beuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beuel
Context triple: [Bonn, hasSubdivision, Beuel]
  • A. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • B. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • C. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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: Beuel
Triple: [Bonn, hasSubdivision, Beuel]
Generated description
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beuel
Target entity description: Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
  • A. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • B. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • C. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2300c481908c60fbb1188c37c5 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e36fc081908de3b67293c7bbf6 completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca391037c8190b6f256fcd1ac882e completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca42e7c74819089666f4940ea6d4d completed March 7, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.