Triple

T17457391
Position Surface form Disambiguated ID Type / Status
Subject Benrath line E425065 entity
Predicate namedAfter P63 FINISHED
Object Benrath
Benrath is a district of Düsseldorf in western Germany, known for its historic Benrath Palace and surrounding park.
E1290532 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: [Benrath line, namedAfter, Benrath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benrath
Context triple: [Benrath line, namedAfter, Benrath]
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Trebur
    Trebur is a historic municipality in the German state of Hesse, known for its medieval significance within the Holy Roman Empire.
  • C. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • D. Ruppichteroth
    Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
  • E. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • 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: [Benrath line, namedAfter, Benrath]
Generated description
Benrath is a district of Düsseldorf in western Germany, known for its historic Benrath Palace and surrounding park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benrath
Target entity description: Benrath is a district of Düsseldorf in western Germany, known for its historic Benrath Palace and surrounding park.
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Trebur
    Trebur is a historic municipality in the German state of Hesse, known for its medieval significance within the Holy Roman Empire.
  • C. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • D. Ruppichteroth
    Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
  • E. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45142b08481908cdd290692d796c3 completed April 19, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306e16ee48190866e76a308ab17d4 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307db9948819099bdf6f3b36893dd completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a030862678881908da2ffe271723572 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 5:47 a.m.