Triple

T20961079
Position Surface form Disambiguated ID Type / Status
Subject Eder E516244 entity
Predicate formsReservoir P11309 FINISHED
Object Edersee NE NERFINISHED

How this triple was built (2 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: Edersee | Statement: [Eder, formsReservoir, Edersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edersee
Context triple: [Eder, formsReservoir, Edersee]
  • A. Edersee chosen
    Edersee is a large artificial reservoir in northern Hesse, Germany, created by the Eder Dam and known for recreation, water sports, and its scenic surroundings.
  • B. Zeuthener See
    Zeuthener See is a lake in Brandenburg, Germany, forming part of the Dahme river–lake system on the southeastern edge of Berlin and serving as a popular area for boating and watersports.
  • C. Möhnesee
    Möhnesee is a municipality in North Rhine-Westphalia, Germany, known for its large reservoir and scenic recreational area around the Möhne River.
  • D. Cospudener See
    Cospudener See is a popular artificial lake and recreational area near Leipzig in Saxony, Germany, known for swimming, sailing, and lakeside leisure activities.
  • E. Ziegelsee
    Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.