Triple

T19163736
Position Surface form Disambiguated ID Type / Status
Subject Buena Vista, Colorado E469123 entity
Predicate hasNearbyPeak P7612 FINISHED
Object Mount Elbert 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: Mount Elbert | Statement: [Buena Vista, Colorado, hasNearbyPeak, Mount Elbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Elbert
Context triple: [Buena Vista, Colorado, hasNearbyPeak, Mount Elbert]
  • A. Mount Elbert chosen
    Mount Elbert is the highest peak in the Rocky Mountains and the tallest mountain in Colorado, located in the Sawatch Range.
  • B. Uncompahgre Peak
    Uncompahgre Peak is a prominent fourteener in southwestern Colorado, known for its broad summit and status as the highest point in the San Juan Mountains.
  • C. Elbert
    Elbert is a masculine given name of English origin, historically borne by figures such as American lawyer and steel industry executive Elbert H. Gary.
  • D. Apache Peak
    Apache Peak is a prominent high-elevation summit in Colorado’s Front Range, known for its rugged alpine terrain within the Indian Peaks Wilderness.
  • E. Longs Peak
    Longs Peak is a prominent fourteener in Colorado’s Front Range, renowned for its dramatic profile and challenging Keyhole Route climb.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebeb9848190ad4ae4c61fa14e08 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.