Triple

T2236404
Position Surface form Disambiguated ID Type / Status
Subject RFC 6668 E49290 entity
Predicate definesUseOf P37271 FINISHED
Object SHA-256
SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
E248473 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SHA-256 | Statement: [RFC 6668, definesUseOf, SHA-256]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHA-256
Context triple: [RFC 6668, definesUseOf, SHA-256]
  • A. MD5
    MD5 is a widely known but now cryptographically broken 128-bit hash function formerly used for checksums, data integrity, and security applications.
  • B. 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.
  • C. SHA
    SHA is the IATA airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub serving Shanghai, China.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SHA-256
Triple: [RFC 6668, definesUseOf, SHA-256]
Generated description
SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SHA-256
Target entity description: SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
  • A. MD5
    MD5 is a widely known but now cryptographically broken 128-bit hash function formerly used for checksums, data integrity, and security applications.
  • B. 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.
  • C. SHA
    SHA is the IATA airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub serving Shanghai, China.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesUseOf
Context triple: [RFC 6668, definesUseOf, SHA-256]
  • A. symbolicallyUses
    Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
  • B. isUsedAs
    Indicates that one entity serves a particular function, role, or purpose as another entity.
  • C. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • D. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • E. isUsedUnder
    Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc09573848190bf91eddcc2fa0061 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b08c5248190924a28f4c1bd0e2c completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6c5cb33481909261f7010e8e21a6 completed March 9, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae6cd61e808190aefca4d4aa1f8e39 completed March 9, 2026, 6:46 a.m.
PD Predicate disambiguation batch_69abbdafc07881909101266a33ae7031 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf9c77fc8190a323bcaf644fb2c5 completed March 7, 2026, 6:03 a.m.
Created at: March 4, 2026, 7:47 p.m.