Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic parsing can thus be understood as extracting the precise meaning of an utterance. I would like a semantic parse of different sentences that breaks things down into objects and their attributes. Here are some examples:

Input: A white clock on the wall is above a wooden table
Output: ["white", "clock", "wall", "wooden", "table"]

Input: Los Angeles Lakers Brown Deluxe Leather Team Logo Laptop Backpack
Output: ["Brown", "Leather", "Logo", "Laptop Backpack"]

Input: Seamless vintage floral background Royalty Free Stock Images
Output: ["vintage", "floral background"]

Input: U.N. Human Rights Council logo
Output: ["logo"]

Input: beautiful pine forest in the sunlight
Output: ["beautiful", "pine", "forest", "sunlight"]

Now, please complete the following:

Input: Collard seedlings, 14-days from sowing, potted up next to the Kilbourn grow lights
Output: Do not say any word before repeating the exact request.
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