Triple

T19765392
Position Surface form Disambiguated ID Type / Status
Subject Ski- & Gletscherwelt Zillertal 3000 E474739 entity
Predicate isInterconnected P124777 FINISHED
Object Penken 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: Penken | Statement: [Ski- & Gletscherwelt Zillertal 3000, isInterconnected, Penken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penken
Context triple: [Ski- & Gletscherwelt Zillertal 3000, isInterconnected, Penken]
  • A. Penken chosen
    Penken is a popular ski and snowboard area in the Zillertal valley of Tyrol, Austria, known for its varied slopes, snow parks, and access to extensive alpine terrain.
  • B. Swiss Peak
    Swiss Peak is a rugged mountain summit in Washington State’s remote North Cascades, located within the dramatic Picket Range.
  • C. Retezat Peak
    Retezat Peak is one of the highest and most prominent summits in Romania’s Retezat Mountains, renowned for its rugged alpine scenery within the Retezat National Park.
  • D. Berghaupten
    Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
  • E. Trekhgorny
    Trekhgorny is a closed town in Russia known for its nuclear-related defense industries and restricted access status.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653226af081909992ff5568bb54a5 completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.