Triple
T28553288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rakı |
E722942
|
entity |
| Predicate | legalDrinkingAgeAppliesIn |
P193244
|
FINISHED |
| Object | Turkey |
—
|
NE NERFINISHED |
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: Turkey | Statement: [rakı, legalDrinkingAgeAppliesIn, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDrinkingAgeAppliesIn Context triple: [rakı, legalDrinkingAgeAppliesIn, Turkey]
-
A.
drinksLegalAge
Indicates that an entity has reached the minimum legal age required to consume alcoholic beverages.
-
B.
legalAgeToPurchase
Indicates that an entity has reached the minimum legally permitted age to purchase a specified item or service.
-
C.
drinkingPermitted
Indicates that consuming alcoholic beverages is allowed in a given context, location, or situation.
-
D.
minimumAlcoholRegulated
Indicates that there is a legally or formally established minimum alcohol-related threshold (such as age, content, or quantity) that is subject to regulation.
-
E.
ageLimitAppliesAt
Indicates the specific age or point in time at which an age-related restriction or limit becomes effective for an entity.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 28, 2026, 3:44 a.m.