Triple

T16419159
Position Surface form Disambiguated ID Type / Status
Subject Windsor Town Board E398767 entity
Predicate jurisdiction P82 FINISHED
Object Windsor, Colorado 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: Windsor, Colorado | Statement: [Windsor Town Board, jurisdiction, Windsor, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor, Colorado
Context triple: [Windsor Town Board, jurisdiction, Windsor, Colorado]
  • A. Windsor, Colorado chosen
    Windsor, Colorado is a rapidly growing Front Range town in northern Colorado known for its family-friendly community, parks and trails, and proximity to both Fort Collins and Greeley.
  • B. Wellington, Colorado
    Wellington, Colorado is a small, rapidly growing town in northern Colorado known for its rural character and proximity to Fort Collins and the Colorado–Wyoming border.
  • C. Wiggins, Colorado
    Wiggins, Colorado is a small rural town in northeastern Colorado known for its agricultural community and location within Morgan County.
  • D. Wiley, Colorado
    Wiley, Colorado is a small rural community located in southeastern Colorado within Prowers County.
  • E. Buena Vista, Colorado
    Buena Vista, Colorado is a small mountain town in central Colorado known for its access to outdoor recreation, including whitewater rafting on the Arkansas River and hiking in the nearby Collegiate Peaks.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287a3d348190831b12101d8449b6 completed April 18, 2026, 6:45 a.m.
Created at: April 10, 2026, 5:09 a.m.