Triple

T32542386
Position Surface form Disambiguated ID Type / Status
Subject Naor–Yung encryption paradigm E831745 entity
Predicate typicalProofTool P27215 FINISHED
Object hybrid argument 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: hybrid argument | Statement: [Naor–Yung encryption paradigm, typicalProofTool, hybrid argument]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalProofTool
Context triple: [Naor–Yung encryption paradigm, typicalProofTool, hybrid argument]
  • A. typicalProofUses chosen
    Indicates that a proof characteristically or commonly employs a particular method, technique, or component.
  • B. provesTo
    Indicates that one entity demonstrates or establishes the truth or validity of something to another entity.
  • C. provedFrom
    Indicates that one statement, theorem, or conclusion is logically derived and demonstrated to be true based on another statement or set of premises.
  • D. partialProofBy
    Indicates that one entity serves as an incomplete or intermediate proof contributing toward the full proof of another entity.
  • E. usesProofLanguage
    Indicates that one entity employs a specific formal or structured language to express or present a proof related to another entity.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:02 a.m.