Triple

T19602769
Position Surface form Disambiguated ID Type / Status
Subject Kreuzberg (Rhön) E470521 entity
Predicate hasView P854 FINISHED
Object Bavarian Rhön 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: Bavarian Rhön | Statement: [Kreuzberg (Rhön), hasView, Bavarian Rhön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavarian Rhön
Context triple: [Kreuzberg (Rhön), hasView, Bavarian Rhön]
  • A. Rhön chosen
    Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
  • B. Franconian Forest
    The Franconian Forest is a low mountain range in northern Bavaria, Germany, known for its extensive woodlands, hiking trails, and role as a watershed between the Main and Saale river systems.
  • C. Main-Spessart
    Main-Spessart is a rural district in the Bavarian region of Lower Franconia in Germany, known for its Main River landscapes and extensive Spessart forest.
  • D. Harz
    Harz is a low mountain range in central Germany known for its dense forests, mining history, and association with German folklore such as the Brocken and Walpurgis Night.
  • E. Thuringian Forest
    The Thuringian Forest is a low mountain range in central Germany known for its dense woodlands, scenic hiking trails, and the historic Rennsteig ridgeway.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64080a57c8190837cbe82b93163bf completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.