Triple

T6032193
Position Surface form Disambiguated ID Type / Status
Subject Hochsauerlandkreis E134331 entity
Predicate containsTown P847 FINISHED
Object Brilon
Brilon is a historic town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its medieval center and surrounding forested landscapes.
E573036 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: Brilon | Statement: [Hochsauerlandkreis, containsTown, Brilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brilon
Context triple: [Hochsauerlandkreis, containsTown, Brilon]
  • A. Bretten
    Bretten is a historic town in the German state of Baden-Württemberg, known as the birthplace of the Protestant reformer Philip Melanchthon.
  • B. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • C. Freudenstadt
    Freudenstadt is a spa and holiday town in southwestern Germany known for its large market square and location in the northern Black Forest.
  • D. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • E. Maulbronn
    Maulbronn is a historic town in Baden-Württemberg, Germany, best known for its well-preserved medieval Cistercian monastery complex, a UNESCO World Heritage Site.
  • 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: Brilon
Triple: [Hochsauerlandkreis, containsTown, Brilon]
Generated description
Brilon is a historic town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its medieval center and surrounding forested landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brilon
Target entity description: Brilon is a historic town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its medieval center and surrounding forested landscapes.
  • A. Bretten
    Bretten is a historic town in the German state of Baden-Württemberg, known as the birthplace of the Protestant reformer Philip Melanchthon.
  • B. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • C. Freudenstadt
    Freudenstadt is a spa and holiday town in southwestern Germany known for its large market square and location in the northern Black Forest.
  • D. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • E. Maulbronn
    Maulbronn is a historic town in Baden-Württemberg, Germany, best known for its well-preserved medieval Cistercian monastery complex, a UNESCO World Heritage Site.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b0a8d081909035e2e85e851ca1 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14149f97081908d57c21652097ad3 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c143417a9881909360412b1ed7be86 completed March 23, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_69c143c59fe881909ccfd159bfdc753a completed March 23, 2026, 1:44 p.m.
Created at: March 22, 2026, 4:08 p.m.