Triple
T16174350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscat à Petits Grains |
E392522
|
entity |
| Predicate | usedInProductionMethod |
P35199
|
FINISHED |
| Object | late harvest wines |
—
|
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: late harvest wines | Statement: [Muscat à Petits Grains, usedInProductionMethod, late harvest wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInProductionMethod Context triple: [Muscat à Petits Grains, usedInProductionMethod, late harvest wines]
-
A.
usedInMethod
Indicates that something (such as a component, variable, or resource) is utilized or referenced within the execution or implementation of a particular method.
-
B.
hasProductionMethod
chosen
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
-
C.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
-
D.
usesProductionModel
Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
-
E.
usedInPractice
Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb9b8208190b60874cec7a3a98e |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.