Triple

T16479934
Position Surface form Disambiguated ID Type / Status
Subject Schluchsee Dam E400287 entity
Predicate createsReservoir P25354 FINISHED
Object Schluchsee E93210 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: Schluchsee | Statement: [Schluchsee Dam, createsReservoir, Schluchsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schluchsee
Context triple: [Schluchsee Dam, createsReservoir, Schluchsee]
  • A. Schluchsee chosen
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • B. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • C. Oberaarsee
    Oberaarsee is a high-altitude reservoir lake in the Swiss Alps, known for its striking turquoise waters and surrounding glacier-fed mountain scenery.
  • D. Rothsee
    Rothsee is an artificial recreational lake in Middle Franconia, Bavaria, popular for swimming, sailing, and other water sports.
  • E. 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.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01f6c88190b75a0d6c94786426 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006078da4c8190ba510d92b503e993 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.