Triple

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).

Phrase: American Fur Company western trade network | Statement: [Columbia River Department, tradeNetwork, American Fur Company western trade network]

Target entity: American Fur Company western trade network
Context triple: [Columbia River Department, tradeNetwork, American Fur Company western trade network]

• A. American Fur Company chosen
  The American Fur Company was a dominant early 19th-century U.S. fur-trading enterprise founded by John Jacob Astor that played a major role in the economic development of the American frontier.
• B. Rocky Mountains fur trade
  The Rocky Mountains fur trade was a 19th-century North American economic and exploration enterprise centered on trapping and trading animal pelts in the Rocky Mountain region, involving mountain men, Native American tribes, and fur companies.
• C. Pacific Fur Company
  The Pacific Fur Company was an early 19th-century American fur-trading enterprise backed by John Jacob Astor that played a key role in the commercial and territorial expansion of the Pacific Northwest.
• D. Atlantic fur trade
  The Atlantic fur trade was a vast early modern commercial network linking European markets with North American and other Atlantic-world regions through the exchange of animal pelts, especially beaver, for manufactured goods and other commodities.
• E. Great Lakes fur trade
  The Great Lakes fur trade was a major early North American economic network in which Indigenous peoples and European traders exchanged animal pelts—especially beaver—for manufactured goods, shaping the region’s exploration, settlement, and cultural interactions.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.