Triple

T13063635
Position Surface form Disambiguated ID Type / Status
Subject Norderstedt E329259 entity
Predicate formedByMergerOf P77 FINISHED
Object Friedrichsgabe
Friedrichsgabe is a former independent locality in northern Germany that now forms part of the city of Norderstedt in Schleswig-Holstein.
E1017483 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: Friedrichsgabe | Statement: [Norderstedt, formedByMergerOf, Friedrichsgabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichsgabe
Context triple: [Norderstedt, formedByMergerOf, Friedrichsgabe]
  • A. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • B. Doberschütz
    Doberschütz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • C. Wittlich
    Wittlich is a small town in the Rhineland-Palatinate region of western Germany, known for its wine production and historic old town.
  • D. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • E. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • 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: Friedrichsgabe
Triple: [Norderstedt, formedByMergerOf, Friedrichsgabe]
Generated description
Friedrichsgabe is a former independent locality in northern Germany that now forms part of the city of Norderstedt in Schleswig-Holstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Friedrichsgabe
Target entity description: Friedrichsgabe is a former independent locality in northern Germany that now forms part of the city of Norderstedt in Schleswig-Holstein.
  • A. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • B. Doberschütz
    Doberschütz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • C. Wittlich
    Wittlich is a small town in the Rhineland-Palatinate region of western Germany, known for its wine production and historic old town.
  • D. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • E. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe45c8c819080fbdf1d94376feb completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 9, 2026, 8:59 p.m.