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Subject Item
n2:
rdf:type
n43:
rdfs:label
Merci
rdfs:comment
Merci(メルシーMerushī) also known as (ISDC5386292C4 Mainframe) is a computer system AI created and used by Doji, primarily in his Dark Nebula time. This computer system can speak Japanese, as well as some English and French. "Merci beaucoup" and "Très bien" seem alike to catchphrases to him and he generally addresses people in French (e.g. 'Monsieur Gingka'). __NOWYSIWYG__ Merci (known in the Japanese version as メルシー (Merushī Merci)) lives in a red skyscraper in Sandpolis. She tells you about the casino betting game Roulette, and says it's a good experience to play, with the chance of winning a large amount of money from it. She also gives you some tips for higher chances at making larger earnings, such as choosing general categories first, and then once you have become more skilled at those, choosing more specific categories instead.
dcterms:subject
n6: n8: n9: n13: n14: n20: n24: n25: n26: n28: n29: n32: n33: n34: n38: n39: n40: n41: n48: n50:
n42:
Merushī
n53:
n54:
n21:wikiPageUsesTemplate
n22: n31: n44: n45:
n3:wikiPageUsesTemplate
n4: n30: n37: n55:
n7:
Merci
n35:wikiPageUsesTemplate
n36:
n11:wikiPageUsesTemplate
n12:
n49:
Red Lotus Europa
n15:
Yes
n10:
ISDC5386292C4 Mainframe
n47:
メルシー
n46:
Blader
n51:
n52:
n27:
Male Female
n56:
Hiroaki Hirata
n16:
n17:
n23:
Robert Tinkler
n19:abstract
Merci(メルシーMerushī) also known as (ISDC5386292C4 Mainframe) is a computer system AI created and used by Doji, primarily in his Dark Nebula time. This computer system can speak Japanese, as well as some English and French. "Merci beaucoup" and "Très bien" seem alike to catchphrases to him and he generally addresses people in French (e.g. 'Monsieur Gingka'). __NOWYSIWYG__ Merci (known in the Japanese version as メルシー (Merushī Merci)) lives in a red skyscraper in Sandpolis. She tells you about the casino betting game Roulette, and says it's a good experience to play, with the chance of winning a large amount of money from it. She also gives you some tips for higher chances at making larger earnings, such as choosing general categories first, and then once you have become more skilled at those, choosing more specific categories instead.