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Amritsar: The Golden Temple

#386502BGG ↗

2023 · 1-4 players · 120min · weight 3.33 · 1,091 ratings

v2 v3 v4 wide v4 deep

BGG raw

ID
386502
Name
Amritsar: The Golden Temple
Year
2023
Rank
2669
Min players
1
Max players
4
Playing time
120
Min playtime
60
Max playtime
120
Avg weight
3.3286
Num weights
70
Bayes avg
6.09449
Average
7.3952
Users rated
1091
Num owned
2412
Wanting
56
Wishing
501
Num comments
223
Fetched at
Sat May 02 2026 15:54:47 GMT+0000 (Coordinated Universal Time)
Mechanisms (6)
MancalaRondelSolo / Solitaire GameTrack MovementWorker PlacementWorker Placement, Different Worker Types
Categories (1)
Territory Building
Description (1284 chars)

Amritsar, India is home to The Golden Temple or Sri Harmandir Sahib. This spectacular building is world-renowned as a sacred place for the Sikh community and one of the most famous pilgrimage destinations on Earth. After being demolished several times, Maharaja Ranjit Singh rebuilt it using marble, copper and 750 kilos of pure gold, hence its name. In Amritsar, the players will represent the different personalities of the time who helped the Maharaja of the Sikh Empire with the reconstruction of the Golden Temple. Using a clever mechanic based on the sowing system of the classic mancala games, players will use the different workers and their very own elephant to carry out the necessary tasks. On your turn, you will be able to perform 1-3 actions depending on how well you have coordinated the workers and your elephant. These actions will consist of collecting resources in the quarry or the market, advancing on the different paths of knowledge, improving your personal board, turning to your mahout (elephant rider) for help and above all making donations to the temple with the aim of obtaining as many prestige points as possible. At the end of the game, the player with the most prestige will be declared the winner of the game. —description from the publisher

LLM v2 (wide)

Not yet enriched at v2 (wide pass).

LLM v3 (deep)

Not yet enriched at v3 (deep pass).

LLM v4 wide (controlled-vocab primitives)

Not yet enriched at v4 (wide pass).

LLM v4 deep (archetype fit)

Not in the v4 deep-pass top-20% slice.