Triple

T21557039
Position Surface form Disambiguated ID Type / Status
Subject Halver E531919 entity
Predicate partOf P40 FINISHED
Object Arnsberg region 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: Arnsberg region | Statement: [Halver, partOf, Arnsberg region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnsberg region
Context triple: [Halver, partOf, Arnsberg region]
  • A. Arnsberg region chosen
    The Arnsberg region is an administrative district in the German state of North Rhine-Westphalia, encompassing several cities and towns in the eastern Ruhr and surrounding areas.
  • B. Calenberg region
    The Calenberg region is a historical area in what is now Lower Saxony, Germany, that formed the core landholding of the House of Hanover and the former Principality of Calenberg.
  • C. Detmold region
    The Detmold region is an administrative region in the German state of North Rhine-Westphalia, encompassing several districts and towns in the eastern part of the state.
  • D. Wendland region
    The Wendland region is a rural area in the eastern part of Lower Saxony, Germany, known for its historic Rundling (circular) villages and strong environmental and anti-nuclear activism.
  • E. Weserbergland
    Weserbergland is a hilly, forested region in central Germany known for its picturesque landscapes along the Weser River and numerous historic towns.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e04b048190ac3a9913094b4625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.