Triple

T10968514
Position Surface form Disambiguated ID Type / Status
Subject Waldeck-Frankenberg E259169 entity
Predicate containsMunicipality P852 FINISHED
Object Diemelsee E931634 NE FINISHED

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: Diemelsee | Statement: [Waldeck-Frankenberg, containsMunicipality, Diemelsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diemelsee
Context triple: [Waldeck-Frankenberg, containsMunicipality, Diemelsee]
  • A. Diemelsee chosen
    Diemelsee is a reservoir and popular recreational lake in Hesse and North Rhine-Westphalia, Germany, known for water sports, hiking, and its scenic surroundings in the Diemel river valley.
  • B. Senftenberger See
    Senftenberger See is an artificial lake in Brandenburg, Germany, created from a former open-cast lignite mine and now used as a popular recreational and water sports area.
  • C. Stölpchensee
    Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
  • D. Beidersee
    Beidersee is a village in the Saalekreis district of Saxony-Anhalt, Germany, that forms part of the town of Wettin-Löbejün.
  • E. Kochelsee
    Kochelsee is a picturesque lake in Upper Bavaria, Germany, known for its alpine scenery and popular outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7719800388190943a0bffa48a2731 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a68e4404819096c5023c7eca4b6a completed April 22, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:24 p.m.