Triple

T32550427
Position Surface form Disambiguated ID Type / Status
Subject SIGMA key exchange protocol E831957 entity
Predicate hasMessageFlow P197458 FINISHED
Object two-pass Diffie–Hellman exchange with authenticated payloads 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: two-pass Diffie–Hellman exchange with authenticated payloads | Statement: [SIGMA key exchange protocol, hasMessageFlow, two-pass Diffie–Hellman exchange with authenticated payloads]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMessageFlow
Context triple: [SIGMA key exchange protocol, hasMessageFlow, two-pass Diffie–Hellman exchange with authenticated payloads]
  • A. hasFlowForm
    Indicates that one entity possesses or is associated with a particular configuration, pattern, or form of flow (such as fluid, data, or traffic movement).
  • B. hasMessageSender
    Indicates that one entity is the sender or originator of a given message.
  • C. hasFlowLayer
    Indicates that one entity possesses or is associated with a specific flow layer within a layered or stratified structure.
  • D. hasMessageNumber
    Indicates that an entity is associated with a specific message identified by a particular number in a sequence or set.
  • E. hasFlux
    Indicates that one entity exhibits or is characterized by a flow, rate of transfer, or continuous change with respect to another entity or quantity.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe920a437081908d5174e8cf7a53a6 completed May 9, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69fe919a9a6c8190acb4483f386e6db7 completed May 9, 2026, 1:44 a.m.
PDg Predicate description generation batch_69fe9208ed708190980fb5061b22ae49 completed May 9, 2026, 1:46 a.m.
Created at: May 1, 2026, 1:02 a.m.