Triple

T19304822
Position Surface form Disambiguated ID Type / Status
Subject Royal Gorge Bridge E482796 entity
Predicate owner P347 FINISHED
Object City of Cañon City 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: City of Cañon City | Statement: [Royal Gorge Bridge, owner, City of Cañon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Cañon City
Context triple: [Royal Gorge Bridge, owner, City of Cañon City]
  • A. Cañon City chosen
    Cañon City is a small Colorado city known for its proximity to the Royal Gorge, outdoor recreation, and historic downtown along the Arkansas River.
  • B. Montezuma, Colorado
    Montezuma, Colorado is a small historic mountain town in the Colorado Rockies known for its mining heritage and scenic alpine surroundings.
  • C. Colorado City
    Colorado City is the former name of what is now Yuma, Arizona, a city in the southwestern United States near the Colorado River and the Mexican border.
  • D. Pagosa Springs
    Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
  • E. Cortez, Colorado
    Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c744908190975c71a28acc96cc completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.