Triple

T10982382
Position Surface form Disambiguated ID Type / Status
Subject Scharmützelsee E259539 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Diensdorf-Radlow
Diensdorf-Radlow is a small lakeside municipality in Brandenburg, Germany, situated on the shores of Lake Scharmützelsee and known for its scenic natural surroundings and recreational opportunities.
E898027 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: Diensdorf-Radlow | Statement: [Scharmützelsee, hasShoreSettlement, Diensdorf-Radlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diensdorf-Radlow
Context triple: [Scharmützelsee, hasShoreSettlement, Diensdorf-Radlow]
  • A. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Sierksdorf
    Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
  • 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: Diensdorf-Radlow
Triple: [Scharmützelsee, hasShoreSettlement, Diensdorf-Radlow]
Generated description
Diensdorf-Radlow is a small lakeside municipality in Brandenburg, Germany, situated on the shores of Lake Scharmützelsee and known for its scenic natural surroundings and recreational opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diensdorf-Radlow
Target entity description: Diensdorf-Radlow is a small lakeside municipality in Brandenburg, Germany, situated on the shores of Lake Scharmützelsee and known for its scenic natural surroundings and recreational opportunities.
  • A. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Sierksdorf
    Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772eb518c8190a885a417815f2ff6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344c77d6c8190a9b5e2cc967fb031 completed April 18, 2026, 8:45 a.m.
NEDg Description generation batch_69e3556ad7ec819095b3babc67ecdfd4 completed April 18, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.