Triple

T3898151
Position Surface form Disambiguated ID Type / Status
Subject Langwasser Süd E90421 entity
Predicate servesDistrict P82 FINISHED
Object Langwasser
Langwasser is a residential district in the southeast of Nuremberg, Germany, known for its post-war urban planning and large housing estates.
 E398164 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: Langwasser | Statement: [Langwasser Süd, servesDistrict, Langwasser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langwasser
Context triple: [Langwasser Süd, servesDistrict, Langwasser]
  • A. Langwasser Süd
    Langwasser Süd is a southern district station in Nuremberg, Germany, serving as a key terminus on the city’s U-Bahn rapid transit network.
  • B. Wrey
    Wrey is a variant spelling of the surname Wray, which is of English origin.
  • C. Wickwar
    Wickwar is a small historic village and civil parish in South Gloucestershire, England, known for its traditional architecture and rural surroundings.
  • D. Aywick
    Aywick is a small coastal settlement on the island of Yell in Shetland, Scotland.
  • E. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • 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: Langwasser
Triple: [Langwasser Süd, servesDistrict, Langwasser]
Generated description
Langwasser is a residential district in the southeast of Nuremberg, Germany, known for its post-war urban planning and large housing estates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langwasser
Target entity description: Langwasser is a residential district in the southeast of Nuremberg, Germany, known for its post-war urban planning and large housing estates.
  • A. Langwasser Süd
    Langwasser Süd is a southern district station in Nuremberg, Germany, serving as a key terminus on the city’s U-Bahn rapid transit network.
  • B. Wrey
    Wrey is a variant spelling of the surname Wray, which is of English origin.
  • C. Wickwar
    Wickwar is a small historic village and civil parish in South Gloucestershire, England, known for its traditional architecture and rural surroundings.
  • D. Aywick
    Aywick is a small coastal settlement on the island of Yell in Shetland, Scotland.
  • E. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd48b208190afaa62975805d087 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca0f72c819084726f631a947f8c completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5207c0cfc8190aae16e8a88348679 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b52163bf888190b38f87d22ecd200e completed March 14, 2026, 8:50 a.m.
Created at: March 9, 2026, 3:21 p.m.