Triple

T26098181
Position Surface form Disambiguated ID Type / Status
Subject First Citizens BancShares E658328 entity
Predicate riskManagementPractice P57775 FINISHED
Object credit risk management 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: credit risk management | Statement: [First Citizens BancShares, riskManagementPractice, credit risk management]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskManagementPractice
Context triple: [First Citizens BancShares, riskManagementPractice, credit risk management]
  • A. riskManagement
    Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
  • B. riskPractice chosen
    Indicates that an entity engages in or is associated with a practice, behavior, or procedure that carries a potential for harm, loss, or adverse outcomes.
  • C. riskManagementMechanism
    Indicates a mechanism, process, or control used to identify, assess, mitigate, or monitor risks associated with an entity or activity.
  • D. riskManagementGoal
    Indicates the objective or desired outcome that guides how risks are identified, assessed, and controlled within a risk management process.
  • E. riskManagementProgramName
    Indicates the specific name assigned to a risk management program associated with an entity or activity.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f607381a8c8190ad11235c85be02e1 completed May 2, 2026, 2:16 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 7:53 p.m.