Triple
T11089118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mâcon AOC |
E262201
|
entity |
| Predicate | typicalUseOfOak |
P87418
|
FINISHED |
| Object | limited oak influence compared to Côte de Beaune whites |
—
|
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: limited oak influence compared to Côte de Beaune whites | Statement: [Mâcon AOC, typicalUseOfOak, limited oak influence compared to Côte de Beaune whites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseOfOak Context triple: [Mâcon AOC, typicalUseOfOak, limited oak influence compared to Côte de Beaune whites]
-
A.
oakAgingTypical
chosen
Indicates that it is typical or customary for something (such as a product, especially a beverage) to undergo aging in oak.
-
B.
typicalOakAroma
Indicates that something has the characteristic smell commonly associated with oak wood or oak aging.
-
C.
treeUse
Indicates the way in which a tree is utilized or purposed within a given context.
-
D.
oakAffinity
Indicates a special connection, preference, or strong association between an entity and oak (such as oak trees, wood, or oak-related environments).
-
E.
oakTreeSymbolizes
Indicates that an oak tree is used as a symbol representing a particular idea, quality, or concept.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.