Triple

T32498253
Position Surface form Disambiguated ID Type / Status
Subject MD4 E830583 entity
Predicate suitableForGeneralSecurityUse P174515 FINISHED
Object false 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: false | Statement: [MD4, suitableForGeneralSecurityUse, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: suitableForGeneralSecurityUse
Context triple: [MD4, suitableForGeneralSecurityUse, false]
  • A. isSecureFor
    Indicates that one entity provides a level of protection or safety that makes it appropriate or safe for use, access, or interaction by another entity.
  • B. securityGuarantee
    Indicates a commitment by one party to protect or defend another party against specified threats or risks.
  • C. isGeneralPurposeIn
    Indicates that something serves a broad, non-specialized function or use within a specified context, domain, or environment.
  • D. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • E. consideredSecure
    Indicates that something is regarded as safe from harm, risk, or unauthorized access according to given criteria or standards.
  • F. None of above. chosen

Provenance (4 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_69f6c4409dc48190a9eac031b88571a1 completed May 3, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 12:59 a.m.