Triple

T13674193
Position Surface form Disambiguated ID Type / Status
Subject district of Roth E327828 entity
Predicate contains P35 FINISHED
Object Büchenbach
Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Roth.
 E314566 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: Büchenbach | Statement: [district of Roth, contains, Büchenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Büchenbach
Context triple: [district of Roth, contains, Büchenbach]
  • A. Büchenbach
    Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
  • B. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • C. Obersüßbach
    Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
  • D. Burtenbach
    Burtenbach is a municipality in the Bavarian region of Swabia in southern Germany.
  • E. Oberreichenbach
    Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community 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: Büchenbach
Triple: [district of Roth, contains, Büchenbach]
Generated description
Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Roth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Büchenbach
Target entity description: Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Roth.
  • A. Büchenbach chosen
    Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
  • B. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • C. Obersüßbach
    Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
  • D. Burtenbach
    Burtenbach is a municipality in the Bavarian region of Swabia in southern Germany.
  • E. Oberreichenbach
    Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7986b9a1c8190b88634af9fc11ebe completed May 3, 2026, 6:48 p.m.
NED2 Entity disambiguation (via description) batch_69f798d7e1a0819087332287d5f9a25f completed May 3, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:53 p.m.