Triple
T29374617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidigueira DOC |
E744956
|
entity |
| Predicate | hasTerroirInfluence |
P177784
|
FINISHED |
| Object | schist bedrock |
—
|
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: schist bedrock | Statement: [Vidigueira DOC, hasTerroirInfluence, schist bedrock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerroirInfluence Context triple: [Vidigueira DOC, hasTerroirInfluence, schist bedrock]
-
A.
terroirDriven
Indicates that something, typically a product like wine or food, is strongly shaped or characterized by the specific environmental conditions and place where it originates.
-
B.
viticulturalCharacteristic
Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
-
C.
terroirComponent
chosen
Indicates that one element is a contributing environmental or geographic factor that shapes the overall terroir of another.
-
D.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
E.
viticulturalFeature
Indicates a characteristic, condition, or attribute specifically related to grape growing or vineyard cultivation.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 28, 2026, 2:30 p.m.