Triple

T16408759
Position Surface form Disambiguated ID Type / Status
Subject Krefeld E398502 entity
Predicate hasDistrict P459 FINISHED
Object Verberg
Verberg is a residential district of the German city of Krefeld in North Rhine-Westphalia.
E1212396 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: Verberg | Statement: [Krefeld, hasDistrict, Verberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verberg
Context triple: [Krefeld, hasDistrict, Verberg]
  • A. Vichten
    Vichten is a small rural commune and village located in central Luxembourg.
  • B. Wassenberg
    Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
  • C. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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: Verberg
Triple: [Krefeld, hasDistrict, Verberg]
Generated description
Verberg is a residential district of the German city of Krefeld in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verberg
Target entity description: Verberg is a residential district of the German city of Krefeld in North Rhine-Westphalia.
  • A. Vichten
    Vichten is a small rural commune and village located in central Luxembourg.
  • B. Wassenberg
    Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
  • C. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c64a05c8190a59e800ce2318052 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dfdd4f88190b86db12bb9c7217a completed May 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a003e953ca88190bb7c64c12a46c666 completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.