Triple

T32498295
Position Surface form Disambiguated ID Type / Status
Subject Message-Digest Algorithm 5 E830584 entity
Predicate cryptographicSecurityStatus P11824 FINISHED
Object not recommended LITERAL 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: not recommended | Statement: [Message-Digest Algorithm 5, cryptographicSecurityStatus, not recommended]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cryptographicSecurityStatus
Context triple: [Message-Digest Algorithm 5, cryptographicSecurityStatus, not recommended]
  • A. securityStatus chosen
    Indicates the current level or condition of protection, risk, or vulnerability associated with an entity or system.
  • B. cryptanalysisStatus
    Indicates the current state or outcome of efforts to analyze or break a cryptographic system or cipher.
  • C. cryptographicRelevance
    Indicates that something has significance, impact, or utility within a cryptographic context, such as for security, encryption, or cryptographic analysis.
  • D. cryptographicType
    Indicates the specific kind or category of cryptographic method, algorithm, or primitive associated with an entity or operation.
  • E. cryptographicModel
    Indicates a relationship where one entity serves as, or is based on, a particular cryptographic scheme, framework, or formal model.
  • F. None of above.

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_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 12:59 a.m.