Triple

T10263498
Position Surface form Disambiguated ID Type / Status
Subject Camel Lights E240657 entity
Predicate publicHealthPosition P9227 FINISHED
Object not safer than regular cigarettes 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: not safer than regular cigarettes | Statement: [Camel Lights, publicHealthPosition, not safer than regular cigarettes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicHealthPosition
Context triple: [Camel Lights, publicHealthPosition, not safer than regular cigarettes]
  • A. positionOnHealthCare chosen
    Indicates a person or entity’s stance, opinion, or policy preference regarding health care systems, services, or reforms.
  • B. publicHealthResponse
    Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
  • C. publicHealthSignificance
    Indicates that something has importance, impact, or relevance for the health of the public or population at large.
  • D. associatedHealthAuthorityPosition
    Indicates that a given entity is linked to, or holds, a specific position or role within a health authority organization.
  • E. healthAuthority
    Indicates that an entity serves as an official body responsible for overseeing, regulating, or managing health-related matters for another entity or within a specific jurisdiction.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:33 a.m.