Triple

T2875972
Position Surface form Disambiguated ID Type / Status
Subject Eifel Mountains E56877 entity
Predicate hasSubregion P285 FINISHED
Object Snow Eifel E56877 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: Snow Eifel | Statement: [Eifel Mountains, hasSubregion, Snow Eifel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow Eifel
Context triple: [Eifel Mountains, hasSubregion, Snow Eifel]
  • A. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • B. Semmerzake
    Semmerzake is a village in East Flanders, Belgium, known for its rural character and former military airfield.
  • C. Mount Eisen
    Mount Eisen is a peak in California’s Sierra Nevada range, situated along the rugged Great Western Divide within Sequoia National Park.
  • D. Eifel Mountains chosen
    The Eifel Mountains are a low mountain range in western Germany and eastern Belgium, known for their volcanic landscapes, dense forests, and picturesque villages.
  • E. Grand Ballon
    Grand Ballon is the highest peak in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and cycling routes.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0061d048190bb1e5a01e7ceb0e2 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055edfd948190ad7433002efa3e53 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:03 p.m.