Triple

T1534763
Position Surface form Disambiguated ID Type / Status
Subject Brown & Williamson E32524 entity
Predicate regulatoryImpact P24019 FINISHED
Object influenced interpretation of FDA authority over 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: influenced interpretation of FDA authority over tobacco products | Statement: [Brown & Williamson, regulatoryImpact, influenced interpretation of FDA authority over tobacco products]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryImpact
Context triple: [Brown & Williamson, regulatoryImpact, influenced interpretation of FDA authority over tobacco products]
  • A. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • B. regulatoryOutcome
    Indicates the result or consequence of a regulatory process, such as approval, rejection, modification, or other formal decision made by a regulatory authority regarding an entity or action.
  • C. legislativeImpact
    Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
  • D. regulatoryDocument
    Indicates a relationship where one entity serves as a regulatory document that defines rules, standards, or requirements governing another entity.
  • E. governingBodyImpacted chosen
    Indicates that a governing body is affected or influenced by a particular action, event, or condition.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.