Triple

T2919627
Position Surface form Disambiguated ID Type / Status
Subject Front Range of the Rocky Mountains E78687 entity
Predicate hasPeak P8205 FINISHED
Object Longs Peak E190861 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: Longs Peak | Statement: [Front Range of the Rocky Mountains, hasPeak, Longs Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longs Peak
Context triple: [Front Range of the Rocky Mountains, hasPeak, Longs Peak]
  • A. Longs Peak chosen
    Longs Peak is a prominent fourteener in Colorado’s Front Range, renowned for its dramatic profile and challenging Keyhole Route climb.
  • 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. Mount Elbert
    Mount Elbert is the highest peak in the Rocky Mountains and the tallest mountain in Colorado, located in the Sawatch Range.
  • D. Pikes Peak
    Pikes Peak is a famous fourteener in the Front Range of the Rocky Mountains in Colorado, renowned for its scenic summit views and historic role in inspiring the song "America the Beautiful."
  • E. 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.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866113688190ae222813b017c69f completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:54 p.m.