Triple

T85900
Position Surface form Disambiguated ID Type / Status
Subject Germany E1728 entity
Predicate hasMajorMountainRange P1023 FINISHED
Object Alps E1926 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: Alps | Statement: [Germany, hasMajorMountainRange, Alps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alps
Context triple: [Germany, hasMajorMountainRange, Alps]
  • A. Pyrenees
    The Pyrenees are a major mountain range in southwest Europe forming a natural border between France and Spain, known for their rugged peaks, scenic valleys, and popular hiking and skiing areas.
  • B. Alps region chosen
    The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
  • C. Himalayas
    The Himalayas are a vast mountain range in Asia, home to many of the world’s highest peaks including Mount Everest, and form a natural barrier between the Indian subcontinent and the Tibetan Plateau.
  • D. Caucasus
    The Caucasus is a strategically vital mountainous region between the Black and Caspian Seas, historically contested by empires and known as a major crossroads of Europe and Asia.
  • E. Atlas Mountains
    The Atlas Mountains are a vast mountain range in northwest Africa, stretching across Morocco, Algeria, and Tunisia and known for their dramatic landscapes, diverse climates, and Berber communities.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4fa22c819096152bb577e11fa6 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26243abb881908e732c8f885cc694 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.