Triple

T9961691
Position Surface form Disambiguated ID Type / Status
Subject Schloss Benrath E195584 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Benrath
Benrath is a district in the south of Düsseldorf, Germany, known for its historic Baroque palace and surrounding parklands.
 E227802 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: Benrath | Statement: [Schloss Benrath, locatedInNeighborhood, Benrath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benrath
Context triple: [Schloss Benrath, locatedInNeighborhood, Benrath]
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • C. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • D. Rheindahlen
    Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
  • E. Boppard
    Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
  • 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: Benrath
Triple: [Schloss Benrath, locatedInNeighborhood, Benrath]
Generated description
Benrath is a district in the south of Düsseldorf, Germany, known for its historic Baroque palace and surrounding parklands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benrath
Target entity description: Benrath is a district in the south of Düsseldorf, Germany, known for its historic Baroque palace and surrounding parklands.
  • A. Benrath chosen
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • C. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • D. Rheindahlen
    Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
  • E. Boppard
    Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299e3d5fc8190a953be3ebd8250e6 completed April 5, 2026, 5:20 p.m.
NEDg Description generation batch_69d29b985e308190a6ec3966e02f429c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c5f64c881909aa3d093422fe475 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:47 p.m.