Triple

T1635044
Position Surface form Disambiguated ID Type / Status
Subject PGP E35340 entity
Predicate standardizedAs P1371 FINISHED
Object OpenPGP E61959 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: OpenPGP | Statement: [PGP, standardizedAs, OpenPGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenPGP
Context triple: [PGP, standardizedAs, OpenPGP]
  • A. 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.
  • B. GNU Privacy Guard chosen
    GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
  • 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. S/MIME
    S/MIME is a widely used standard for secure email that provides encryption and digital signatures using public key cryptography.
  • 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.

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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1679408190a9faa7b22c388c4b completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a61de8819095005c222ec50810 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.