Triple

T32707095
Position Surface form Disambiguated ID Type / Status
Subject Rabin cryptosystem E836301 entity
Predicate trapdoorFunction P56554 FINISHED
Object modular squaring with factorization trapdoor 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: modular squaring with factorization trapdoor | Statement: [Rabin cryptosystem, trapdoorFunction, modular squaring with factorization trapdoor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trapdoorFunction
Context triple: [Rabin cryptosystem, trapdoorFunction, modular squaring with factorization trapdoor]
  • A. preimageResistance
    Indicates that it is computationally infeasible to find any input that maps to a given output under the function (e.g., a cryptographic hash), even when that output is known.
  • B. cryptFunction chosen
    Indicates a function or method that performs cryptographic processing, such as encrypting, decrypting, or otherwise transforming data using a cryptographic algorithm.
  • C. collisionResistanceTarget
    Indicates that the entity serves as the designated object or system that a collision-resistance mechanism is intended to protect against successful collisions.
  • D. secretFunction
    Indicates that one entity has a function, method, or operation whose details or behavior are intentionally hidden or not publicly disclosed.
  • E. Merkle–Damgård strengthening
    Indicates that a hash function construction applies Merkle–Damgård strengthening, meaning the message is padded with its length (and possibly other structured padding) before processing to help ensure collision resistance and proper security properties.
  • 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_69f3493446148190819541f3ffe79975 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c852d7248190bdf8d128992668cf completed May 3, 2026, 4 a.m.
PD Predicate disambiguation batch_69f6c3f617c08190a70ba880210f908c completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:10 a.m.