Triple
T34569596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franc Noir de la Haute-Saône |
E887587
|
entity |
| Predicate | viticulturalType |
P137847
|
FINISHED |
| Object | old local variety |
—
|
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: old local variety | Statement: [Franc Noir de la Haute-Saône, viticulturalType, old local variety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viticulturalType Context triple: [Franc Noir de la Haute-Saône, viticulturalType, old local variety]
-
A.
viticulturalAreaType
Indicates the specific type or classification of a viticultural area associated with an entity.
-
B.
viticulturalCharacteristic
Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
-
C.
viticulturalFeature
Indicates a characteristic, condition, or attribute specifically related to grape growing or vineyard cultivation.
-
D.
viticulturalFocus
Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
-
E.
grapeVarietyType
chosen
Indicates the specific type or classification of a grape variety used or referred to in a given context.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72092ea788190987ab862d8f10d95 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.