\begin{table}
	\centering
	\begin{adjustbox}{max width=\textwidth}
		\begin{tabular}{ccccccccccccccccc}
			\toprule
			\multirow{2}{*}{\textbf{Single-Step}} & \multirow{2}{*}{\textbf{Train}} & \multicolumn{3}{c}{\textbf{YAGO}} & \multicolumn{3}{c}{\textbf{WIKI}} & \multicolumn{3}{c}{\textbf{ICEWS14}} & \multicolumn{3}{c}{\textbf{ICEWS18}} & \multicolumn{3}{c}{\textbf{ACLED-CD22}}\\
			\cmidrule(lr){3-5} \cmidrule(lr){6-8} \cmidrule(lr){9-11} \cmidrule(lr){12-14} \cmidrule(lr){15-17} &        & H@1               & H@3               & H@10              & H@1               & H@3               & H@10              & H@1               & H@3               & H@10                     & H@1               & H@3               & H@10              & H@1               & H@3               & H@10              \\
			\midrule
			\texttt{RE-GCN}                                                                                     & \cmark & 0.787             & 0.842             & \underline{0.884} & 0.747             & 0.817             & \underline{0.846} & 0.313             & \underline{0.473} & \bf 0.626                & \bf 0.223         & \bf 0.367         & \bf 0.525         & \bf 0.446         & \bf 0.545         & \bf 0.608         \\
			\texttt{xERTE}                                                                                      & \cmark & \underline{0.842} & \underline{0.902} & \bf 0.912         & 0.703             & 0.785             & 0.801             & \underline{0.330} & 0.454             & 0.570                    & 0.209             & 0.335             & 0.462             & 0.320             & 0.445             & 0.497             \\
			\texttt{TLogic}                                                                                     & \cmark & 0.740             & 0.789             & 0.791             & \bf 0.786         & \bf 0.860         & \bf 0.870         & \bf 0.332         & \bf 0.476         & \underline{0.602}        & 0.204             & \underline{0.336} & \underline{0.480} & 0.009             & 0.045             & 0.094             \\
			\texttt{TANGO}                                                                                      & \cmark & 0.590             & 0.646             & 0.677             & 0.483             & 0.514             & 0.527             & 0.272             & 0.408             & 0.550                    & 0.191             & 0.318             & 0.462             & \underline{0.327} & \underline{0.482} & \underline{0.599} \\
			\texttt{Timetraveler}                                                                               & \cmark & \bf 0.845         & \bf 0.908         & \bf 0.912         & \underline{0.751} & \underline{0.820} & 0.830             & 0.319             & 0.454             & 0.575                    & \underline{0.212} & 0.325             & 0.439             & 0.240             & 0.315             & 0.457             \\
			\midrule
			\texttt{GPT-NeoX} (Entity)                                                                          & \xmark & 0.584             & 0.591             & \bf 0.527         & 0.594             & 0.504             & 0.544             & \bf 0.524         & \bf 0.260         & \bf 0.265                & 0.192             & \bf 0.113         & \bf 0.114         & \bf 0.124         & \bf 0.192         & \bf 0.104         \\
			\texttt{GPT-NeoX} (Pair)                                                                            & \xmark & 0.584             & 0.591             & \bf 0.527         & 0.594             & 0.504             & 0.544             & \bf 0.524         & \bf 0.260         & \bf 0.265                & 0.192             & \bf 0.113         & \bf 0.114         & \bf 0.124         & \bf 0.192         & \bf 0.104         \\
			\bottomrule
		\end{tabular}
	\end{adjustbox}
	\caption{Table 5: \textbf{Performance (Hits@K)} comparison between supervised models and ICL for single-step (top) and multi-step (bottom) prediction.
		The first group in each table consists of supervised models, whereas the second group consists of ICL models, \textit{i.e.,} \texttt{GPT-NeoX} with a history length of 100.
		The best model for each dataset in the first group is shown in \textbf{bold}, and the second best is \underline{underlined}.}
\end{table}