Triple

T17447070
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 24 E424813 entity
Predicate runsThroughCity P10456 FINISHED
Object Vail, 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: Vail, Colorado | Statement: [U.S. Route 24, runsThroughCity, Vail, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vail, Colorado
Context triple: [U.S. Route 24, runsThroughCity, Vail, Colorado]
  • A. Vail chosen
    Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
  • B. Vail
    Vail is a surname most notably associated with Alfred Vail, an American inventor who helped develop and commercialize the telegraph and Morse code.
  • C. Breckenridge, Colorado
    Breckenridge, Colorado is a historic Rocky Mountain town and popular year-round tourist destination known for its world-class skiing, vibrant Main Street, and outdoor recreation.
  • D. Breckenridge
    Breckenridge is a surname most notably associated with American actress Alexandra Breckenridge, known for her roles in television series such as "This Is Us" and "Virgin River."
  • E. Aspen, Colorado
    Aspen, Colorado is a renowned Rocky Mountain resort town in Colorado known for its world-class skiing, upscale tourism, and vibrant cultural scene.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.