Triple
T11393320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clos Montmartre vineyard |
E269901
|
entity |
| Predicate | annualProduction |
P57387
|
FINISHED |
| Object | around 1,000 to 1,500 bottles per year |
—
|
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: around 1,000 to 1,500 bottles per year | Statement: [Clos Montmartre vineyard, annualProduction, around 1,000 to 1,500 bottles per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualProduction Context triple: [Clos Montmartre vineyard, annualProduction, around 1,000 to 1,500 bottles per year]
-
A.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
B.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
C.
annualProductions
chosen
Indicates a relationship where a specified number or set of items is produced each year by an entity.
-
D.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.