Triple

T13440709
Position Surface form Disambiguated ID Type / Status
Subject Museum of Colorado Prisons E320351 entity
Predicate city P40 FINISHED
Object Cañon City E83133 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: Cañon City | Statement: [Museum of Colorado Prisons, city, Cañon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cañon City
Context triple: [Museum of Colorado Prisons, city, 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. 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.
  • C. 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.
  • D. Mesa, Colorado
    Mesa, Colorado is a small unincorporated community in western Colorado that serves as a gateway to the nearby Grand Mesa and its outdoor recreation areas.
  • E. Grand Junction, Colorado
    Grand Junction, Colorado is a city in western Colorado known as a regional hub for agriculture, energy, and outdoor recreation in the Grand Valley near the Colorado National Monument.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee704ac8190b4c7f4e0d3a88494 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
Created at: April 9, 2026, 9:40 p.m.