Triple
T26111834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baco Noir |
E658718
|
entity |
| Predicate | grapeSpeciesComposition |
P137847
|
FINISHED |
| Object | French-American hybrid |
—
|
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: French-American hybrid | Statement: [Baco Noir, grapeSpeciesComposition, French-American hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeSpeciesComposition Context triple: [Baco Noir, grapeSpeciesComposition, French-American hybrid]
-
A.
grapeColorDistribution
Indicates how colors are proportionally or categorically distributed among a set of grapes.
-
B.
grapeVarietyType
chosen
Indicates the specific type or classification of a grape variety used or referred to in a given context.
-
C.
grapeParentage
Indicates the parent-offspring relationship between grape varieties, specifying which grape(s) are the progenitors of another grape.
-
D.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
E.
grapeFamily
Indicates that one entity belongs to, or is classified within, the same botanical family as grapes.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6077d48408190ad851e002499bbdb |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:02 p.m.