Triple
T9416410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panaca, Nevada |
E227031
|
entity |
| Predicate | alcoholSalesProhibitedWithinTownLimits |
P53744
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Panaca, Nevada, alcoholSalesProhibitedWithinTownLimits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alcoholSalesProhibitedWithinTownLimits Context triple: [Panaca, Nevada, alcoholSalesProhibitedWithinTownLimits, true]
-
A.
alcoholPolicy
Indicates the rules or restrictions governing the possession, sale, or consumption of alcohol in a given context.
-
B.
allowedBeerSales
Indicates that the sale of beer is legally permitted or authorized in a given context or jurisdiction.
-
C.
drinkingPermitted
Indicates that consuming alcoholic beverages is allowed in a given context, location, or situation.
-
D.
prohibitionActivity
chosen
Indicates that a certain activity is forbidden or not allowed to be performed.
-
E.
wineRegulationStatus
Indicates the regulatory classification or compliance status that applies to a given wine under relevant laws or standards.
- F. None of above.
Provenance (3 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c9917481909f793a2a9efb2a75 |
completed | April 1, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.