Triple

T22789463
Position Surface form Disambiguated ID Type / Status
Subject Kahler Asten E564067 entity
Predicate hasViewOf P854 FINISHED
Object Sauerland 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: Sauerland region | Statement: [Kahler Asten, hasViewOf, Sauerland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauerland region
Context triple: [Kahler Asten, hasViewOf, Sauerland region]
  • A. Sauerland chosen
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports 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. 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.
  • D. Saale-Holzland region
    The Saale-Holzland region is a rural district in the German state of Thuringia, known for its Saale River landscapes, forests, and small historic towns.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3488708190812f7d2edac92184 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.