Triple

T21677837
Position Surface form Disambiguated ID Type / Status
Subject Mischabel range E535020 entity
Predicate contains P35 FINISHED
Object Gross Bigerhorn 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: Gross Bigerhorn | Statement: [Mischabel range, contains, Gross Bigerhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gross Bigerhorn
Context triple: [Mischabel range, contains, Gross Bigerhorn]
  • A. Gross Bigerhorn chosen
    Gross Bigerhorn is a mountain peak in the Swiss Alps, located within the Mischabel range in the canton of Valais.
  • B. Bighorn Peak
    Bighorn Peak is a mountain summit in Southern California’s San Gabriel Mountains, popular with hikers for its scenic forested trails and panoramic ridge views.
  • C. Lone Peak
    Lone Peak is a prominent natural summit located within Oklahoma’s Gloss Mountains State Park, known for its striking red mesas and scenic views.
  • D. Longs Peak
    Longs Peak is a prominent fourteener in Colorado’s Front Range, renowned for its dramatic profile and challenging Keyhole Route climb.
  • E. Mount Bierstadt
    Mount Bierstadt is a popular Colorado fourteener known for its relatively accessible hike and scenic alpine views near Guanella Pass.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11088081908911af2629f54c1c completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.