Triple

T1711834
Position Surface form Disambiguated ID Type / Status
Subject PKCS #1 E37199 entity
Predicate includes P1393 FINISHED
Object RSASSA-PSS E37200 NE 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: RSASSA-PSS | Statement: [PKCS #1, includes, RSASSA-PSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSASSA-PSS
Context triple: [PKCS #1, includes, RSASSA-PSS]
  • A. PKCS #1
    PKCS #1 is a cryptographic standard that defines the mathematical properties, formats, and padding schemes for implementing RSA encryption and digital signatures.
  • B. RSA
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • C. RSA Security
    RSA Security is a pioneering American cybersecurity company best known for its contributions to public-key cryptography and secure data encryption technologies.
  • D. PGP
    PGP (Pretty Good Privacy) is an encryption program that provides cryptographic privacy and authentication for data communication, most notably for securing emails and files.
  • E. RFC 8017 chosen
    RFC 8017 is the Internet standard that specifies the RSA Cryptography Standard (PKCS #1), defining algorithms and formats for RSA encryption and digital signatures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6315afdc81908409435bb47e8ee0 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8addf4a48190b19cdb861db5eecd completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.