Triple
T12347189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crémant de Loire |
E294384
|
entity |
| Predicate | minimumAlcoholRegulated |
P104596
|
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: [Crémant de Loire, minimumAlcoholRegulated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAlcoholRegulated Context triple: [Crémant de Loire, minimumAlcoholRegulated, yes]
-
A.
minimumAlcoholRed
Indicates that there is a specified minimum alcohol content requirement associated with red wine or red alcoholic beverages.
-
B.
regulatesAlcoholLevel
Indicates a relationship where one entity controls, adjusts, or maintains the alcohol level of another entity or system.
-
C.
higherMinimumAlcoholThan
Indicates that the minimum required or actual alcohol content of one entity is greater than that of another entity.
-
D.
minimumAlcoholWhite
Indicates the minimum required alcohol content specified for white wine.
-
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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.