Triple
T18976323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigondas |
E464304
|
entity |
| Predicate | grapeMinimumGrenachePercentage |
P91947
|
FINISHED |
| Object | at least 50 percent Grenache in red 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: at least 50 percent Grenache in red wines | Statement: [Gigondas, grapeMinimumGrenachePercentage, at least 50 percent Grenache in red wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeMinimumGrenachePercentage Context triple: [Gigondas, grapeMinimumGrenachePercentage, at least 50 percent Grenache in red wines]
-
A.
dominantGrapePercentageRequirement
chosen
Indicates the minimum percentage of a single grape variety that must be present in a wine for it to be considered dominant or to meet a specific labeling or classification rule.
-
B.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
C.
maximumViognierPercentage
Indicates the highest allowable proportion of Viognier in a given wine or blend.
-
D.
typicalBlendCabernetFrancPercentage
Indicates the percentage of Cabernet Franc that is typically included in a particular wine blend.
-
E.
typicalBlendMerlotPercentage
Indicates the usual proportion of Merlot used in a blend relative to the other grape varieties.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon