Triple

T4772611
Position Surface form Disambiguated ID Type / Status
Subject Western Colorado E105967 entity
Predicate hasMajorCity P316 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: [Western Colorado, hasMajorCity, Cañon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cañon City
Context triple: [Western Colorado, hasMajorCity, 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. 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.
  • E. Fruita
    Fruita is a small city in western Colorado known for its outdoor recreation, mountain biking trails, and proximity to 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655f98b0819088c05c5502ecf2cd completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77a49ddc819082fdfe7389b0d8a1 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 1:21 p.m.