Triple

T19508799
Position Surface form Disambiguated ID Type / Status
Subject LastPass E488093 entity
Predicate usesKeyDerivationFunction P60768 FINISHED
Object PBKDF2 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: PBKDF2 | Statement: [LastPass, usesKeyDerivationFunction, PBKDF2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesKeyDerivationFunction
Context triple: [LastPass, usesKeyDerivationFunction, PBKDF2]
  • A. keyDerivation chosen
    Indicates that one cryptographic key is generated or derived from another key or base secret using a specific derivation process.
  • B. canDerive
    Indicates that one entity can be logically or procedurally obtained, inferred, or produced from another entity based on defined rules or transformations.
  • C. nonceDerivation
    Indicates the process or method by which a nonce value is generated or derived from given inputs or parameters.
  • D. supportsPrecomputedKeySchedule
    Indicates that an entity is capable of using or handling a cryptographic key schedule that has been computed in advance rather than generating it on the fly.
  • E. usesEncryptionAlgorithm
    Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351426448190aec1ee26c09faa24 completed April 20, 2026, 2:15 p.m.
PD Predicate disambiguation batch_69e4fd7bd25881908caa04eaef1f6718 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:40 p.m.