Triple
T1549235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorillard Tobacco Company |
E33048
|
entity |
| Predicate | regulatoryIssues |
P31131
|
FINISHED |
| Object | advertising restrictions |
—
|
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: advertising restrictions | Statement: [Lorillard Tobacco Company, regulatoryIssues, advertising restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatoryIssues Context triple: [Lorillard Tobacco Company, regulatoryIssues, advertising restrictions]
-
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.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
-
D.
regulatoryDocument
Indicates a relationship where one entity serves as a regulatory document that defines rules, standards, or requirements governing another entity.
-
E.
worksOnRegulationType
Indicates that an entity is involved in work or activities related to a specific type or category of regulation.
- F. None of above. chosen
Provenance (4 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69aa573ee8e0819084abf59f1ddbd1da |
completed | March 6, 2026, 4:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.