Triple

T7111101
Position Surface form Disambiguated ID Type / Status
Subject Family Smoking Prevention and Tobacco Control Act of 2009 E165707 entity
Predicate regulatoryAuthorityScope P4800 FINISHED
Object manufacture of tobacco products 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: manufacture of tobacco products | Statement: [Family Smoking Prevention and Tobacco Control Act of 2009, regulatoryAuthorityScope, manufacture of tobacco products]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryAuthorityScope
Context triple: [Family Smoking Prevention and Tobacco Control Act of 2009, regulatoryAuthorityScope, manufacture of tobacco products]
  • A. regulatoryDomain chosen
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • B. regulatoryAudience
    Indicates that something is intended for, directed toward, or relevant to a regulatory body or oversight authority as its audience.
  • C. certificationScope
    Indicates the specific range, domain, or subject matter that a given certification covers or applies to.
  • D. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • E. scopeOfUse
    Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5ecd4488190bf19e42de55da98b completed March 27, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69c6e1c4f9788190830288d00cc37026 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:43 p.m.