Triple

T18621706
Position Surface form Disambiguated ID Type / Status
Subject Sangerhausen E455166 entity
Predicate locatedNear P294 FINISHED
Object Kyffhäuser hills 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: Kyffhäuser hills | Statement: [Sangerhausen, locatedNear, Kyffhäuser hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyffhäuser hills
Context triple: [Sangerhausen, locatedNear, Kyffhäuser hills]
  • A. Kyffhäuser hills chosen
    The Kyffhäuser hills are a low mountain range in central Germany known for the Kyffhäuser Monument and their association with the Barbarossa legend.
  • B. Haßberge hills
    The Haßberge hills are a low mountain range in northern Bavaria, Germany, known for their forested landscapes, castles, and vineyards along the Main River.
  • C. Rhön
    Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
  • D. Hardtberg
    Hardtberg is a borough of the German city of Bonn, located in the western part of the city and comprising several residential and administrative districts.
  • E. Thuringian Slate Mountains
    The Thuringian Slate Mountains are a low mountain range in central Germany known for their slate-rich geology, dense forests, and traditional mining and slate-working heritage.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0146f48190a872032db6e660c6 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.