Triple
T34224040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smirnoff |
E877998
|
entity |
| Predicate | legalDrinkingAgeRequirement |
P199710
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Smirnoff, legalDrinkingAgeRequirement, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDrinkingAgeRequirement Context triple: [Smirnoff, legalDrinkingAgeRequirement, yes]
-
A.
legalDrinkingAgeAppliesIn
Indicates that a specified legal drinking age is in effect within a particular jurisdiction or location.
-
B.
drinksLegalAge
Indicates that an entity has reached the minimum legal age required to consume alcoholic beverages.
-
C.
legalAgeToPurchase
Indicates that an entity has reached the minimum legally permitted age to purchase a specified item or service.
-
D.
hasLegalStatusRegardingAlcohol
Indicates the legal classification or permissions an entity has concerning the use, sale, or possession of alcohol.
-
E.
drinkingPermitted
Indicates that consuming alcoholic beverages is allowed in a given context, location, or situation.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69ff519a67008190b1eda931fdeff53e |
completed | May 9, 2026, 3:24 p.m. |
Created at: May 1, 2026, 1:55 a.m.