Merkle proof
E466595
A Merkle proof is a compact cryptographic proof that verifies a specific piece of data is included in a larger dataset by revealing only a minimal set of hash values from a Merkle tree.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Merkle path | 1 |
| Merkle proof canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4747334 — 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 proof Context triple: [Merkle tree, enables, Merkle proof]
-
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.
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C.
Merkle puzzles
Merkle puzzles are an early cryptographic protocol that introduced the concept of public-key exchange by allowing two parties to establish a shared secret over an insecure channel using computationally asymmetric “puzzle” problems.
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D.
Merkle–Damgård construction
The Merkle–Damgård construction is a fundamental method for building collision-resistant cryptographic hash functions from fixed-size compression functions, used in many classic hash algorithms like MD5 and SHA-1.
-
E.
Verifiable Random Function
A Verifiable Random Function (VRF) is a cryptographic primitive that produces pseudo-random outputs along with proofs that anyone can verify to confirm the outputs were correctly generated from a given input and secret key.
- 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 proof Target entity description: A Merkle proof is a compact cryptographic proof that verifies a specific piece of data is included in a larger dataset by revealing only a minimal set of hash values from a Merkle 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.
-
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.
Merkle puzzles
Merkle puzzles are an early cryptographic protocol that introduced the concept of public-key exchange by allowing two parties to establish a shared secret over an insecure channel using computationally asymmetric “puzzle” problems.
-
D.
Merkle–Damgård construction
The Merkle–Damgård construction is a fundamental method for building collision-resistant cryptographic hash functions from fixed-size compression functions, used in many classic hash algorithms like MD5 and SHA-1.
-
E.
Verifiable Random Function
A Verifiable Random Function (VRF) is a cryptographic primitive that produces pseudo-random outputs along with proofs that anyone can verify to confirm the outputs were correctly generated from a given input and secret key.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
cryptographic proof
ⓘ
data inclusion proof ⓘ membership proof ⓘ |
| alternativeTo | full data inclusion proof ⓘ |
| consistsOf |
Merkle root
ⓘ
leaf value ⓘ sibling hashes ⓘ |
| enables |
lightweight clients
ⓘ
stateless verification ⓘ verification without full dataset ⓘ |
| hasAdvantage |
low verification cost
ⓘ
privacy of unrelated data ⓘ small proof size ⓘ |
| hasComplexity | logarithmic in the number of leaves ⓘ |
| hasComponent | authentication path ⓘ |
| hasProperty |
compact
ⓘ
efficient ⓘ non-interactive ⓘ publicly verifiable ⓘ |
| proofSize | O(log n) ⓘ |
| protects |
against data tampering
ⓘ
integrity of data ⓘ |
| relatedTo |
Merkle leaf
ⓘ
Merkle path ⓘ
linked to:
Merkle proof
Merkle root ⓘ Merkle tree ⓘ |
| reliesOn |
collision resistance
ⓘ
cryptographic hash function ⓘ preimage resistance ⓘ second preimage resistance ⓘ |
| requires |
Merkle root commitment
ⓘ
known hash function ⓘ ordered list of sibling hashes ⓘ |
| usedIn |
Bitcoin
ⓘ
Ethereum ⓘ
linked to:
Ethereum blockchain
P2P networks ⓘ SPV wallets ⓘ blockchain systems ⓘ certificate transparency ⓘ commitment schemes ⓘ content-addressable storage ⓘ data availability schemes ⓘ distributed systems ⓘ file integrity verification ⓘ light clients ⓘ verifiable logs ⓘ |
| usesStructure | Merkle tree ⓘ |
| verificationTime | O(log n) ⓘ |
| verifies |
data inclusion in a Merkle tree
ⓘ
that a leaf is part of a Merkle tree ⓘ |
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 proof Description of subject: A Merkle proof is a compact cryptographic proof that verifies a specific piece of data is included in a larger dataset by revealing only a minimal set of hash values from a Merkle tree.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Merkle proof