Triple

T12515822
Position Surface form Disambiguated ID Type / Status
Subject gpgsm E299188 entity
Predicate supportsStandard P1587 FINISHED
Object PKCS #7 E192657 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: PKCS #7 | Statement: [gpgsm, supportsStandard, PKCS #7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKCS #7
Context triple: [gpgsm, supportsStandard, PKCS #7]
  • A. PKCS #7 chosen
    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).
  • B. PKCS #12
    PKCS #12 is a binary file format used to store and transport cryptographic objects such as private keys, certificates, and related secrets in a secure, interoperable way.
  • C. PKCS #1
    PKCS #1 is a cryptographic standard that defines the mathematical properties, formats, and padding schemes for implementing RSA encryption and digital signatures.
  • D. PKCS #8
    PKCS #8 is a cryptographic standard that defines a syntax for storing and transporting private keys, often used in secure key management and exchange.
  • E. 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.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.