Triple

T19442801
Position Surface form Disambiguated ID Type / Status
Subject Colorado Labor Wars E486392 entity
Predicate hasLocation P40 FINISHED
Object Telluride 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: Telluride | Statement: [Colorado Labor Wars, hasLocation, Telluride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telluride
Context triple: [Colorado Labor Wars, hasLocation, Telluride]
  • A. Telluride, Colorado chosen
    Telluride, Colorado is a historic former mining town turned upscale mountain resort in the San Juan Mountains, renowned for its dramatic alpine scenery, skiing, and prominent arts and film culture.
  • B. Pagosa Springs
    Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
  • C. Vail
    Vail is a surname most notably associated with Alfred Vail, an American inventor who helped develop and commercialize the telegraph and Morse code.
  • D. Vail
    Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
  • E. 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."
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63386c520819092bea5d7f259a226 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.