Triple
T1552852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massandra Winery |
E33131
|
entity |
| Predicate | cellarCapacity |
P13466
|
FINISHED |
| Object | millions of bottles (approximate scale) |
—
|
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: millions of bottles (approximate scale) | Statement: [Massandra Winery, cellarCapacity, millions of bottles (approximate scale)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellarCapacity Context triple: [Massandra Winery, cellarCapacity, millions of bottles (approximate scale)]
-
A.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
B.
cargoHoldVolume
Indicates the total internal volume available within a cargo hold for storing goods or materials.
-
C.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
D.
storageFacility
Indicates a relationship where one entity serves as a place or facility used to store another entity or its items.
-
E.
totalCapacity
chosen
Indicates the maximum amount or volume that something can hold or accommodate in total.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.