Triple

T1907765
Position Surface form Disambiguated ID Type / Status
Subject DNSSEC ZSK E38040 entity
Predicate algorithm P21840 FINISHED
Object RSA E5909 NE FINISHED

How this triple was built (3 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: RSA | Statement: [DNSSEC ZSK, algorithm, RSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSA
Context triple: [DNSSEC ZSK, algorithm, RSA]
  • A. RSA chosen
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • B. RSA Security
    RSA Security is a pioneering American cybersecurity company best known for its contributions to public-key cryptography and secure data encryption technologies.
  • C. RSA Fellowship
    The RSA Fellowship is a global community of accomplished individuals from diverse fields who collaborate to address social challenges and promote innovative solutions for the public good.
  • D. Diffie–Hellman key exchange
    Diffie–Hellman key exchange is a foundational cryptographic protocol that enables two parties to securely establish a shared secret over an insecure communication channel.
  • E. ElGamal
    ElGamal is a public-key cryptosystem based on the discrete logarithm problem, widely used for secure encryption and digital signatures in various cryptographic protocols.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: algorithm
Context triple: [DNSSEC ZSK, algorithm, RSA]
  • A. algorithmType chosen
    Indicates the specific kind or category of algorithm associated with an entity or process.
  • B. relatedAlgorithm
    Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
  • C. architecture
    Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
  • D. assistant
    Indicates that one entity provides help, support, or services to another entity.
  • E. program
    Indicates that an entity creates, writes, or develops a computer program or software application.
  • F. None of above.

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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafb063481908a08f5570acc5b57 completed March 8, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.