Triple

T4136595
Position Surface form Disambiguated ID Type / Status
Subject Lake County, Colorado E85169 entity
Predicate highestPoint P210 FINISHED
Object Mount Elbert E14075 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: Mount Elbert | Statement: [Lake County, Colorado, highestPoint, Mount Elbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Elbert
Context triple: [Lake County, Colorado, highestPoint, 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. 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 Sneffels
    Mount Sneffels is a prominent and rugged fourteener in southwestern Colorado, renowned for its dramatic profile and popular alpine climbing 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02345c2c819090a9db6b375a7fc7 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a83f4a548190a1ba9720b1f35ec9 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:43 p.m.