Triple

T11272685
Position Surface form Disambiguated ID Type / Status
Subject Aegidienberg E266851 entity
Predicate hasSubdistrict P747 FINISHED
Object Brüngsberg
Brüngsberg is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
E266851 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: Brüngsberg | Statement: [Aegidienberg, hasSubdistrict, Brüngsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brüngsberg
Context triple: [Aegidienberg, hasSubdistrict, Brüngsberg]
  • A. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • B. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • C. Aegidienberg
    Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Ettersberg
    Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
  • 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: Brüngsberg
Triple: [Aegidienberg, hasSubdistrict, Brüngsberg]
Generated description
Brüngsberg is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brüngsberg
Target entity description: Brüngsberg is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
  • A. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • B. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • C. Aegidienberg chosen
    Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Ettersberg
    Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
  • F. None of above.

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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5563558f48190ac5fa26062249175 completed April 19, 2026, 10:24 p.m.
NEDg Description generation batch_69e562bb085c8190942766d12d838798 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e569f0e6948190b285ca84aca03771 completed April 19, 2026, 11:49 p.m.
Created at: April 8, 2026, 9:31 p.m.