Triple

T6891604
Position Surface form Disambiguated ID Type / Status
Subject Royal Society of Arts E159060 entity
Predicate hasPart P35 FINISHED
Object RSA Fellowship E200632 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 Fellowship | Statement: [Royal Society of Arts, hasPart, RSA Fellowship]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSA Fellowship
Context triple: [Royal Society of Arts, hasPart, RSA Fellowship]
  • A. RSA Fellowship chosen
    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.
  • B. RSA
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • C. 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.
  • D. RSA Security
    RSA Security is a pioneering American cybersecurity company best known for its contributions to public-key cryptography and secure data encryption technologies.
  • E. RSA Archer
    RSA Archer is an integrated risk management and governance, risk, and compliance (GRC) software platform used by organizations to identify, assess, and manage enterprise risks and regulatory obligations.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92ecbdc8190992f9c7f4f33f4c4 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748d625908190b3b1f7cfe6360016 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.