Triple

T370143
Position Surface form Disambiguated ID Type / Status
Subject Master of Information and Cybersecurity E8249 entity
Predicate preparationFor P2534 FINISHED
Object cybersecurity leadership roles LITERAL 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: cybersecurity leadership roles | Statement: [Master of Information and Cybersecurity, preparationFor, cybersecurity leadership roles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preparationFor
Context triple: [Master of Information and Cybersecurity, preparationFor, cybersecurity leadership roles]
  • A. preparesFor chosen
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • B. pretext
    Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
  • C. providedFor
    Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
  • D. preparatoryFastBegins
    Indicates that a required period of fasting starts in preparation for a subsequent event, action, or ritual.
  • E. appointedFor
    Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
  • F. None of above.

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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebff472881909fad81d597425ea6 completed Feb. 28, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69a2e960d880819084b3df4e5137a1e2 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.