Triple

T6093518
Position Surface form Disambiguated ID Type / Status
Subject Piekberg E135822 entity
Predicate near P350 FINISHED
Object Kreidefelsen auf Rügen E23809 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: Kreidefelsen auf Rügen | Statement: [Piekberg, near, Kreidefelsen auf Rügen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreidefelsen auf Rügen
Context triple: [Piekberg, near, Kreidefelsen auf Rügen]
  • A. Rügen chosen
    Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
  • B. Bergen auf Rügen
    Bergen auf Rügen is the central town and administrative hub of Germany’s Baltic Sea island of Rügen, known for its historic old town and proximity to the island’s coastal attractions.
  • C. Lütje Hörn
    Lütje Hörn is a small, uninhabited sand island in the Wadden Sea off the coast of Lower Saxony, Germany, known for its shifting shape and role as a protected bird habitat.
  • D. Warnemünde Lighthouse
    Warnemünde Lighthouse is a historic coastal beacon and popular tourist attraction located at the entrance to the harbor of Rostock’s seaside district Warnemünde on Germany’s Baltic Sea coast.
  • E. Großbothen
    Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ac8c7481909fb22cf157be45ce completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125365a7481909e40d01c2d3590aa completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.