Triple

T1404955
Position Surface form Disambiguated ID Type / Status
Subject AES-GCM E31669 entity
Predicate authenticationOperation P12126 FINISHED
Object polynomial hash in GF(2^128) 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: polynomial hash in GF(2^128) | Statement: [AES-GCM, authenticationOperation, polynomial hash in GF(2^128)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authenticationOperation
Context triple: [AES-GCM, authenticationOperation, polynomial hash in GF(2^128)]
  • A. authenticationType
    Indicates the method or mechanism used to verify and confirm an entity’s identity in an interaction or system.
  • B. authenticationStandard
    Indicates that one entity defines, specifies, or adheres to a particular method, protocol, or set of rules for verifying the identity of another entity.
  • C. loginScope
    Indicates the specific permissions, access range, or contextual boundaries under which a user or system is authenticated during a login session.
  • D. securityService
    Indicates a relationship where an entity provides or is responsible for protective, safeguarding, or defense-related services for another entity or system.
  • E. operationOf chosen
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.