Triple
T24566464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bual |
E607802
|
entity |
| Predicate | typicalAlcoholContext |
P156373
|
FINISHED |
| Object | fortified to higher alcohol levels |
—
|
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: fortified to higher alcohol levels | Statement: [Bual, typicalAlcoholContext, fortified to higher alcohol levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAlcoholContext Context triple: [Bual, typicalAlcoholContext, fortified to higher alcohol levels]
-
A.
drinkingContext
Indicates the situational or environmental circumstances under which a drinking event occurs (such as time, place, social setting, or purpose).
-
B.
drinksAlcohol
Indicates that an entity consumes alcoholic beverages.
-
C.
alcohol
Indicates that one entity is an alcoholic beverage or contains alcohol in relation to another entity.
-
D.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
E.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a92082a881908896dcdda85559b9 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:28 a.m.