Triple

T9312342
Position Surface form Disambiguated ID Type / Status
Subject BoringSSL E224034 entity
Predicate basedOn P98 FINISHED
Object OpenSSL E224032 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: OpenSSL | Statement: [BoringSSL, basedOn, OpenSSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenSSL
Context triple: [BoringSSL, basedOn, OpenSSL]
  • A. OpenSSL chosen
    OpenSSL is a widely used open-source cryptographic library and toolkit that provides SSL/TLS protocols and various encryption, hashing, and security functions for secure communication over computer networks.
  • B. LibreSSL
    LibreSSL is an open-source cryptographic library and SSL/TLS toolkit, forked from OpenSSL by the OpenBSD project to improve code quality and security.
  • C. BoringSSL
    BoringSSL is a Google-maintained fork of OpenSSL focused on security, simplicity, and suitability for large-scale, internal use in projects like Chrome and Android.
  • D. OpenSSH
    OpenSSH is a widely used open-source suite of secure networking tools that provides encrypted remote login, file transfer, and tunneling capabilities, primarily via the SSH protocol.
  • E. PKCS #1
    PKCS #1 is a cryptographic standard that defines the mathematical properties, formats, and padding schemes for implementing 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c797640c8190be003e321faf3b86 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.