You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Synthesis and biological evaluation of 5-nitropyrimidine analogs with azabicyclic substituents as GPR119 agonists. 5-Nitropyrimidine analogs substituted with conformationally restricted azabicyclic amines and alcohols were prepared and evaluated their agonistic activity against human GPR119. The analogs bearing endo-azabicyclic amines and alcohols (7, 8, 11, and 12) exhibited full agonistic activities while the analogs with exo-azabicyclic amines and alcohols were proved as partial agonists (9, 10, 13, and 14) regardless of their EC(50) values. 5-Nitropyrimidine analogs with (2-fluoro-4-methylsulfonyl)phenylamino group (8, 10, 12, 14) showed more potent GPR119 activation activities than the analogs without fluorine in all cases (7, 9, 11, 13).
{"Chemical": ["fluorine", "(2-fluoro-4-methylsulfonyl)phenylamino", "5-nitropyrimidine", "exo-azabicyclic amines and alcohols", "endo-azabicyclic amines and alcohols", "azabicyclic amines and alcohols", "azabicyclic", "5-Nitropyrimidine"]}