Triple

T17921217
Position Surface form Disambiguated ID Type / Status
Subject Soest plain E448070 entity
Predicate borderedBy P224 FINISHED
Object Möhne valley 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: Möhne valley | Statement: [Soest plain, borderedBy, Möhne valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Möhne valley
Context triple: [Soest plain, borderedBy, Möhne valley]
  • A. Möhne River chosen
    The Möhne River is a waterway in North Rhine-Westphalia, Germany, known for the large reservoir and hydroelectric infrastructure associated with the Möhne Dam.
  • B. Düsseltal
    Düsseltal is a residential district of Düsseldorf, Germany, known for its leafy streets, affluent character, and mix of historic and modern urban development.
  • C. Neiße valley
    The Neiße valley is a scenic river valley along the Lusatian Neisse on the German-Polish border, known for its natural landscapes and historic towns such as Görlitz.
  • D. Mühltal
    Mühltal is a municipality in the Darmstadt-Dieburg district of the German state of Hesse, located near the city of Darmstadt.
  • E. Aller-Leine Valley
    The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30a11748190be41361d108aee58 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.