Triple

T6888004
Position Surface form Disambiguated ID Type / Status
Subject Duke of Jülich-Berg E158969 entity
Predicate precededBy P97 FINISHED
Object Count of Berg
The Count of Berg was a medieval noble title held by the rulers of the County of Berg in the Holy Roman Empire, located in what is now western Germany.
 E625679 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: Count of Berg | Statement: [Duke of Jülich-Berg, precededBy, Count of Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Count of Berg
Context triple: [Duke of Jülich-Berg, precededBy, Count of Berg]
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Forchtenberg
    Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
  • C. Creutzwald
    Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
  • D. Neipperg
    Neipperg is a small village in the Heilbronn district of Baden-Württemberg, Germany, known for its surrounding vineyards and wine production.
  • E. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • 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: Count of Berg
Triple: [Duke of Jülich-Berg, precededBy, Count of Berg]
Generated description
The Count of Berg was a medieval noble title held by the rulers of the County of Berg in the Holy Roman Empire, located in what is now western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Count of Berg
Target entity description: The Count of Berg was a medieval noble title held by the rulers of the County of Berg in the Holy Roman Empire, located in what is now western Germany.
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Forchtenberg
    Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
  • C. Creutzwald
    Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
  • D. Neipperg
    Neipperg is a small village in the Heilbronn district of Baden-Württemberg, Germany, known for its surrounding vineyards and wine production.
  • E. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e249508190ac95be97c0409d4a completed March 28, 2026, 2:54 a.m.
NEDg Description generation batch_69c744036378819083a3be5c50b189b2 completed March 28, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69c744eb1cf88190aaf90198d04d4500 completed March 28, 2026, 3:03 a.m.
Created at: March 27, 2026, 2:23 p.m.