Siam Paragon
E300194
Siam Paragon is a major luxury shopping mall and entertainment complex in central Bangkok, Thailand, featuring high-end retail, dining, a cinema, and an aquarium.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Siam Paragon canonical | 17 |
| Siam Paragon Cineplex | 1 |
| Siam Paragon Development Co., Ltd. | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2786504 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siam Paragon Context triple: [Siam Square, near, Siam Paragon]
-
A.
Siam Square
Siam Square is a bustling commercial and entertainment district in central Bangkok known for its shopping, dining, and youth-oriented culture.
-
B.
Chatuchak Park MRT Station
Chatuchak Park MRT Station is a Bangkok Mass Rapid Transit station on the Blue Line that serves as a key access point to the popular Chatuchak area, including its famous weekend market and adjacent parks.
-
C.
Night Bazaar
Night Bazaar is a famous evening market in Chiang Mai known for its bustling street stalls, handicrafts, food, and lively atmosphere that attracts both locals and tourists.
-
D.
Chatuchak District
Chatuchak District is a major area in northern Bangkok, Thailand, known for its vast public park, transport hubs, and the famous Chatuchak Weekend Market.
-
E.
Chatuchak Weekend Market
Chatuchak Weekend Market is one of the world’s largest and most famous outdoor markets, known for its vast maze of stalls selling everything from clothing and handicrafts to plants, pets, and street food.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siam Paragon Target entity description: Siam Paragon is a major luxury shopping mall and entertainment complex in central Bangkok, Thailand, featuring high-end retail, dining, a cinema, and an aquarium.
-
A.
Siam Square
Siam Square is a bustling commercial and entertainment district in central Bangkok known for its shopping, dining, and youth-oriented culture.
-
B.
Chatuchak Park MRT Station
Chatuchak Park MRT Station is a Bangkok Mass Rapid Transit station on the Blue Line that serves as a key access point to the popular Chatuchak area, including its famous weekend market and adjacent parks.
-
C.
Night Bazaar
Night Bazaar is a famous evening market in Chiang Mai known for its bustling street stalls, handicrafts, food, and lively atmosphere that attracts both locals and tourists.
-
D.
Chatuchak District
Chatuchak District is a major area in northern Bangkok, Thailand, known for its vast public park, transport hubs, and the famous Chatuchak Weekend Market.
-
E.
Chatuchak Weekend Market
Chatuchak Weekend Market is one of the world’s largest and most famous outdoor markets, known for its vast maze of stalls selling everything from clothing and handicrafts to plants, pets, and street food.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
entertainment complex
ⓘ
shopping mall ⓘ tourist attraction ⓘ |
| address | 991 Rama I Road, Pathum Wan, Bangkok, Thailand ⓘ |
| architecturalStyle | contemporary commercial architecture ⓘ |
| BTSLine |
Silom Line
ⓘ
Sukhumvit Line ⓘ |
| coDeveloper | The Mall Group ⓘ |
| connectedBySkywalkTo |
CentralWorld (via skywalk network)
ⓘ
Siam Center ⓘ Siam Discovery ⓘ |
| contains |
Gourmet Market supermarket
ⓘ
Paragon Cineplex ⓘ Royal Paragon Hall ⓘ Sea Life Bangkok Ocean World ⓘ Siam Paragon Cineplex ⓘ
linked to:
Siam Paragon
|
| country | Thailand ⓘ |
| developer | Siam Piwat ⓘ |
| district | Pathum Wan District ⓘ |
| floorArea | approximately 500,000 square meters ⓘ |
| formerNameOfAquarium |
Siam Ocean World
ⓘ
linked to:
Sea Life Bangkok Ocean World
|
| hasAquarium | yes ⓘ |
| hasBasementLevels | yes ⓘ |
| hasCinema | yes ⓘ |
| hasDepartmentStore | yes ⓘ |
| hasDiningArea | yes ⓘ |
| hasFunction |
dining
ⓘ
entertainment ⓘ events and exhibitions ⓘ shopping ⓘ |
| hasLuxuryRetail | yes ⓘ |
| hasParking | yes ⓘ |
| hasRetailSpace | yes ⓘ |
| location | Bangkok ⓘ |
| neighborhood | Siam area ⓘ |
| notableFor |
high-end international brand boutiques
ⓘ
large multiplex cinema ⓘ one of the largest aquariums in Southeast Asia ⓘ |
| numberOfFloors | approximately 10 ⓘ |
| openingDate | 2005-12-09 ⓘ |
| openingYear | 2005 ⓘ |
| owner |
Siam Paragon Development Co., Ltd.
ⓘ
linked to:
Siam Paragon
|
| parkingCapacity | approximately 4,000 cars ⓘ |
| publicTransitConnection | Siam BTS Station ⓘ |
| RoyalParagonHallInstanceOf | convention and exhibition center ⓘ |
| targetVisitors |
international tourists
ⓘ
local shoppers ⓘ |
| website | https://www.siamparagon.co.th ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Siam Paragon Description of subject: Siam Paragon is a major luxury shopping mall and entertainment complex in central Bangkok, Thailand, featuring high-end retail, dining, a cinema, and an aquarium.
Referenced by (19)
Full triples — surface form annotated when it differs from this entity's canonical label.