Triple

T22499135
Position Surface form Disambiguated ID Type / Status
Subject DST Root CA X3 E556221 entity
Predicate organization P629 FINISHED
Object Digital Signature Trust Co. NE NERFINISHED

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: Digital Signature Trust Co. | Statement: [DST Root CA X3, organization, Digital Signature Trust Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digital Signature Trust Co.
Context triple: [DST Root CA X3, organization, Digital Signature Trust Co.]
  • A. IdenTrust chosen
    IdenTrust is a global certificate authority and digital identity provider that issues and manages trusted SSL/TLS and other public key infrastructure (PKI) certificates used to secure internet communications and electronic transactions.
  • B. Entrust Technologies
    Entrust Technologies is a cybersecurity company known for developing encryption and data protection solutions, including contributions to symmetric-key block cipher design.
  • C. Intertrust Technologies
    Intertrust Technologies is a company known for its digital rights management and trusted computing technologies, providing security and rights-enabling solutions for digital content and data.
  • D. UNISIG
    UNISIG is an industrial consortium of railway suppliers that develops and maintains technical specifications and standards for the European Train Control System (ETCS).
  • E. Signer
    Signer is a core itsdangerous utility class used to create and verify cryptographically signed values for secure data handling in Python applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb3deb88190874230ae06a352d6 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.