Triple
T6997718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norton |
E162259
|
entity |
| Predicate | grapeSpeciesBackground |
P74348
|
FINISHED |
| Object | primarily Vitis aestivalis heritage |
—
|
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: primarily Vitis aestivalis heritage | Statement: [Norton, grapeSpeciesBackground, primarily Vitis aestivalis heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeSpeciesBackground Context triple: [Norton, grapeSpeciesBackground, primarily Vitis aestivalis heritage]
-
A.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
B.
viticultureHistory
Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
-
C.
grapeConfusionNote
Indicates a note documenting confusion, ambiguity, or uncertainty specifically related to grapes or grape-related information.
-
D.
grapeColorDistribution
Indicates how colors are proportionally or categorically distributed among a set of grapes.
-
E.
traditionalGrapeVariety
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dbbc00fc8190a18221524b774021 |
completed | March 27, 2026, 7:34 p.m. |
Created at: March 27, 2026, 2:33 p.m.