Merkle Patricia tree
E466596
A Merkle Patricia tree is a hybrid data structure combining Merkle trees and Patricia tries, widely used in systems like Ethereum to provide efficient, verifiable key–value storage.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Merkle Patricia tree canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4747346 — 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: Merkle Patricia tree Context triple: [Merkle tree, hasVariant, Merkle Patricia tree]
-
A.
Merkle tree
A Merkle tree is a cryptographic data structure that uses a tree of hash values to efficiently and securely verify the integrity and consistency of large sets of data.
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B.
Merkle
Merkle is a surname most prominently associated with Ralph Merkle, a pioneering computer scientist and cryptographer known for his foundational work in public-key cryptography and Merkle trees.
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C.
Algorand blockchain protocol
Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
-
D.
Hyperledger
Hyperledger is an open-source collaborative project focused on developing enterprise-grade, permissioned blockchain frameworks and tools for business applications.
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E.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
- 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: Merkle Patricia tree Target entity description: A Merkle Patricia tree is a hybrid data structure combining Merkle trees and Patricia tries, widely used in systems like Ethereum to provide efficient, verifiable key–value storage.
-
A.
Merkle tree
A Merkle tree is a cryptographic data structure that uses a tree of hash values to efficiently and securely verify the integrity and consistency of large sets of data.
-
B.
Merkle
Merkle is a surname most prominently associated with Ralph Merkle, a pioneering computer scientist and cryptographer known for his foundational work in public-key cryptography and Merkle trees.
-
C.
Algorand blockchain protocol
Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
-
D.
Hyperledger
Hyperledger is an open-source collaborative project focused on developing enterprise-grade, permissioned blockchain frameworks and tools for business applications.
-
E.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
authenticated data structure
ⓘ
data structure ⓘ key–value store index ⓘ |
| basedOn |
Merkle tree
NERFINISHED
ⓘ
Patricia trie NERFINISHED ⓘ |
| comparedWith |
plain Patricia trie
ⓘ
simple Merkle tree ⓘ |
| designedFor |
blockchain systems
ⓘ
untrusted distributed environments ⓘ |
| enables |
efficient state pruning strategies
ⓘ
lightweight fraud proofs ⓘ stateless client designs ⓘ |
| ensures |
data authenticity
ⓘ
data integrity ⓘ efficient verification without full data download ⓘ |
| hasComponent |
branch node
ⓘ
extension node ⓘ leaf node ⓘ |
| hasProperty |
deterministic structure for a given key–value set
ⓘ
hash-based node addressing ⓘ prefix-compressed keys ⓘ supports efficient synchronization ⓘ supports light client verification ⓘ supports sparse key space ⓘ |
| provides |
compact proofs of exclusion
ⓘ
compact proofs of inclusion ⓘ cryptographic commitment to data ⓘ efficient key deletion ⓘ efficient key insertion ⓘ efficient key lookup ⓘ tamper-evident storage ⓘ |
| rootStoredIn | Ethereum block header NERFINISHED ⓘ |
| rootType |
receiptsRoot
ⓘ
stateRoot ⓘ transactionsRoot ⓘ |
| usedFor |
account state storage
ⓘ
receipt trie in Ethereum blocks ⓘ state storage in Ethereum ⓘ storage trie for smart contracts ⓘ transaction trie in Ethereum blocks ⓘ verifiable key–value storage ⓘ |
| usedIn |
Ethereum
NERFINISHED
ⓘ
Ethereum mainnet NERFINISHED ⓘ Ethereum testnets NERFINISHED ⓘ |
| uses |
cryptographic hash function
ⓘ
hexary (16-way) branching in Ethereum ⓘ key hashing before insertion in Ethereum ⓘ |
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: Merkle Patricia tree Description of subject: A Merkle Patricia tree is a hybrid data structure combining Merkle trees and Patricia tries, widely used in systems like Ethereum to provide efficient, verifiable key–value storage.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.