Triple

T8713220
Position Surface form Disambiguated ID Type / Status
Subject Höllental route E206830 entity
Predicate passesThrough P225 FINISHED
Object Höllental valley E210797 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: Höllental valley | Statement: [Höllental route, passesThrough, Höllental valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Höllental valley
Context triple: [Höllental route, passesThrough, Höllental valley]
  • A. Höllental chosen
    Höllental is a steep, scenic alpine valley in the Bavarian Alps known for its challenging route up to Germany’s highest peak, the Zugspitze.
  • B. Klostertal
    Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
  • C. Gorxheimertal
    Gorxheimertal is a small municipality in the Bergstraße district of Hesse, Germany, situated in a scenic valley on the edge of the Odenwald.
  • D. Lauter valley
    Lauter valley is a scenic river valley in the Swabian Jura region of Baden-Württemberg, Germany, known for its limestone landscapes, castles, and hiking trails.
  • E. Totengrund valley
    Totengrund valley is a picturesque, bowl-shaped heathland depression in Germany’s Lüneburg Heath, famed for its unspoiled natural scenery and popular hiking views from the nearby Wilseder Berg.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:35 p.m.