Triple

T2057819
Position Surface form Disambiguated ID Type / Status
Subject Sorpe Dam E45716 entity
Predicate hasReservoir P1025 FINISHED
Object Sorpesee
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
E228424 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: Sorpesee | Statement: [Sorpe Dam, hasReservoir, Sorpesee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorpesee
Context triple: [Sorpe Dam, hasReservoir, Sorpesee]
  • A. Schwansee
    Schwansee is a picturesque alpine lake in Bavaria, Germany, known for its scenic setting near Neuschwanstein and Hohenschwangau castles.
  • B. Chilion
    Chilion is a minor biblical figure in the Old Testament, known as one of Naomi and Elimelech’s sons who died in Moab before the family’s return to Bethlehem.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • E. Unterweser
    Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
  • 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: Sorpesee
Triple: [Sorpe Dam, hasReservoir, Sorpesee]
Generated description
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sorpesee
Target entity description: Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
  • A. Schwansee
    Schwansee is a picturesque alpine lake in Bavaria, Germany, known for its scenic setting near Neuschwanstein and Hohenschwangau castles.
  • B. Chilion
    Chilion is a minor biblical figure in the Old Testament, known as one of Naomi and Elimelech’s sons who died in Moab before the family’s return to Bethlehem.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • E. Unterweser
    Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9ae0130819089f7d62005466a45 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2011bf20819094f4f3e88dfde9ea completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20cbf3608190984dfd9638b9053b completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae213410708190af9715f488c5b8f5 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:40 p.m.