Triple
T19045485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vacqueyras |
E466118
|
entity |
| Predicate | percentageRedProductionApprox |
P92183
|
FINISHED |
| Object | over 90 percent |
—
|
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: over 90 percent | Statement: [Vacqueyras, percentageRedProductionApprox, over 90 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageRedProductionApprox Context triple: [Vacqueyras, percentageRedProductionApprox, over 90 percent]
-
A.
approximateProductionNumber
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
-
B.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
C.
fractionOfProduce
chosen
Indicates that one entity represents a fractional portion or share of another entity’s total produce.
-
D.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.