Triple

T1711882
Position Surface form Disambiguated ID Type / Status
Subject RFC 8017 E37200 entity
Predicate defines P264 FINISHED
Object EME-OAEP E37199 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: EME-OAEP | Statement: [RFC 8017, defines, EME-OAEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EME-OAEP
Context triple: [RFC 8017, defines, EME-OAEP]
  • A. PKCS #1 chosen
    PKCS #1 is a cryptographic standard that defines the mathematical properties, formats, and padding schemes for implementing RSA encryption and digital signatures.
  • B. Ed448
    Ed448 is a modern high-security elliptic-curve digital signature algorithm designed for strong cryptographic assurance and efficient performance.
  • C. PKCS #7
    PKCS #7 is a cryptographic standard that defines the syntax for digitally signing and encrypting data, forming the basis for formats like S/MIME and CMS (Cryptographic Message Syntax).
  • D. 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.
  • E. Merkle–Damgård construction
    The Merkle–Damgård construction is a fundamental method for building collision-resistant cryptographic hash functions from fixed-size compression functions, used in many classic hash algorithms like MD5 and SHA-1.
  • 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_69adb5be1a2c819083b95d55c969b9d6 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.