Triple
T5020668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banyuls AOC |
E112840
|
entity |
| Predicate | BanyulsGrandCruAgingRequirement |
P61573
|
FINISHED |
| Object | minimum 30 months of aging |
—
|
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: minimum 30 months of aging | Statement: [Banyuls AOC, BanyulsGrandCruAgingRequirement, minimum 30 months of aging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BanyulsGrandCruAgingRequirement Context triple: [Banyuls AOC, BanyulsGrandCruAgingRequirement, minimum 30 months of aging]
-
A.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
-
B.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
C.
wineAgeingPreference
Indicates a preference for how long wine should be aged before consumption or use.
-
D.
vineAge
Indicates the age or length of time that a vine has been growing or established.
-
E.
appellationCreationYear
Indicates the year in which the appellation (official name or title) was formally created or established.
- F. None of above. chosen
Provenance (4 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736399ac8190aa38efc4b4edc6a2 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:36 p.m.