Triple

T11360070
Position Surface form Disambiguated ID Type / Status
Subject Buchholz in der Nordheide E269061 entity
Predicate hasNeighbouringCity P3883 FINISHED
Object Hollenstedt
Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
E952143 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: Hollenstedt | Statement: [Buchholz in der Nordheide, hasNeighbouringCity, Hollenstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollenstedt
Context triple: [Buchholz in der Nordheide, hasNeighbouringCity, Hollenstedt]
  • A. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • D. Ochtrup
    Ochtrup is a small town in the Münster region of North Rhine-Westphalia in western Germany, known for its textile industry and designer outlet center.
  • E. Ramstedt
    Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
  • 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: Hollenstedt
Triple: [Buchholz in der Nordheide, hasNeighbouringCity, Hollenstedt]
Generated description
Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hollenstedt
Target entity description: Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • A. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • D. Ochtrup
    Ochtrup is a small town in the Münster region of North Rhine-Westphalia in western Germany, known for its textile industry and designer outlet center.
  • E. Ramstedt
    Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea42fe608190b9c71dd63f8780f3 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f28053fe08819099e848cd74b989a0 completed April 29, 2026, 10:04 p.m.
NEDg Description generation batch_69f40b2d0a388190a11a0e2d806e310b completed May 1, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69f40deb4eec8190a8fe1aa59b1514e6 completed May 1, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:33 p.m.