Triple

T35695434
Position Surface form Disambiguated ID Type / Status
Subject David Scott E1031424 entity
Predicate legislative area of activity P17365 FINISHED
Object banking and financial regulation 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: banking and financial regulation | Statement: [David Scott, legislative area of activity, banking and financial regulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislative area of activity
Context triple: [David Scott, legislative area of activity, banking and financial regulation]
  • A. areaOfLegislation chosen
    Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
  • B. region of legislative impact
    Indicates the geographic or jurisdictional area within which a particular law, regulation, or legislative action has authority or effect.
  • C. legislativeActivity
    Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
  • D. area of activity
    Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
  • E. legislativePowerScope
    Indicates the range or extent of authority that a legislative body has to create, amend, or repeal laws.
  • 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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.