Triple

T9931411
Position Surface form Disambiguated ID Type / Status
Subject JSON Web Token E192655 entity
Predicate signatureAlgorithmType P45884 FINISHED
Object RSA E5909 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: RSA | Statement: [JSON Web Token, signatureAlgorithmType, RSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSA
Context triple: [JSON Web Token, signatureAlgorithmType, RSA]
  • A. RSA chosen
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • B. RSA
    RSA is the three-letter World Rugby trigram used to represent the South Africa national rugby union team in international competitions and official records.
  • C. RSA Security
    RSA Security is a pioneering American cybersecurity company best known for its contributions to public-key cryptography and secure data encryption technologies.
  • D. RSA Design
    RSA Design is a creative design division of the production company RSA Films, specializing in visual and graphic solutions for film, advertising, and branded content.
  • E. RSA Fellowship
    The RSA Fellowship is a global community of accomplished individuals from diverse fields who collaborate to address social challenges and promote innovative solutions for the public good.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b54f348190b8e70e7beff6098a completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:43 p.m.