Triple
T23915293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscato Bianco |
E602065
|
entity |
| Predicate | grapeClusterSize |
P81262
|
FINISHED |
| Object | small to medium |
—
|
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: small to medium | Statement: [Moscato Bianco, grapeClusterSize, small to medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeClusterSize Context triple: [Moscato Bianco, grapeClusterSize, small to medium]
-
A.
clusterSizeRange
chosen
Indicates the range of allowable or observed sizes for a given cluster within a specified context.
-
B.
grapevinesCount
Indicates the number of grapevines associated with or present in a given context or entity.
-
C.
grainSize
Indicates the relative coarseness or fineness of the material or particles involved in the relationship.
-
D.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
E.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.