Triple

T10532299
Position Surface form Disambiguated ID Type / Status
Subject SHA-256 E248473 entity
Predicate relatedAlgorithm P25130 FINISHED
Object SHA-512 E434687 NE FINISHED

How this triple was built (2 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-512 | Statement: [SHA-256, relatedAlgorithm, SHA-512]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHA-512
Context triple: [SHA-256, relatedAlgorithm, SHA-512]
  • A. 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.
  • B. SHA-2 chosen
    SHA-2 is a family of cryptographic hash functions widely used for data integrity, digital signatures, and security protocols on the internet.
  • C. SHA-1
    SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
  • D. BLAKE2b
    BLAKE2b is a cryptographic hash function optimized for 64-bit platforms, known for its high speed, strong security, and use in modern applications as a successor to algorithms like SHA-2 and MD5.
  • E. Keccak
    Keccak is a cryptographic hash function family that forms the basis of the SHA-3 standard, known for its sponge construction and strong security properties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e63561081909af8b2242e896bfe completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:30 p.m.