Triple

T2982997
Position Surface form Disambiguated ID Type / Status
Subject Ruhr E80553 entity
Predicate hasReservoir P1025 FINISHED
Object Kemnader See E317106 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: Kemnader See | Statement: [Ruhr, hasReservoir, Kemnader See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemnader See
Context triple: [Ruhr, hasReservoir, Kemnader See]
  • A. 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.
  • B. Harkortsee chosen
    Harkortsee is an artificial lake and recreational reservoir on the Ruhr River in North Rhine-Westphalia, Germany, popular for water sports and leisure activities.
  • C. Obersee
    Obersee is a small, picturesque alpine lake in Bavaria, Germany, known for its clear emerald waters and dramatic mountain surroundings near the Königssee.
  • D. Maschsee
    Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
  • E. Eibsee
    Eibsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear turquoise waters and dramatic setting at the foot of the Zugspitze.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e31a8188190bd5ad6c9757e7141 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.