Triple
T4038409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaulieu Vineyard |
E83882
|
entity |
| Predicate | prohibitionActivity |
P53744
|
FINISHED |
| Object | produced sacramental wine during Prohibition |
—
|
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: produced sacramental wine during Prohibition | Statement: [Beaulieu Vineyard, prohibitionActivity, produced sacramental wine during Prohibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prohibitionActivity Context triple: [Beaulieu Vineyard, prohibitionActivity, produced sacramental wine during Prohibition]
-
A.
alcoholPolicy
Indicates the rules or restrictions governing the possession, sale, or consumption of alcohol in a given context.
-
B.
drinkingPermitted
Indicates that consuming alcoholic beverages is allowed in a given context, location, or situation.
-
C.
legalizedInstitution
Indicates that an authority has formally granted legal status or approval for an institution to exist or operate.
-
D.
legalAbolition
Indicates that a law, practice, or legal status has been formally ended or revoked through an official legal process.
-
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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3656f08190aa5286d951013646 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef98ed84c81909dc86097df4afd4f |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:37 p.m.