Triple

T33784791
Position Surface form Disambiguated ID Type / Status
Subject financial stability authority E865756 entity
Predicate mayUseTool P9928 FINISHED
Object macroprudential policy instruments 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: macroprudential policy instruments | Statement: [financial stability authority, mayUseTool, macroprudential policy instruments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayUseTool
Context triple: [financial stability authority, mayUseTool, macroprudential policy instruments]
  • A. usesToolType
    Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
  • B. canUse chosen
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • C. usesToolFor
    Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
  • D. mayAllowUse
    Indicates that one entity has the potential or permission to allow another entity to use or access something.
  • E. canBeUsed
    Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
  • 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_69f3498ecc2c8190bcd85e3f11dc215e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.