Triple
T38165096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franciacorta |
E953121
|
entity |
| Predicate | emergingGrape |
P183630
|
FINISHED |
| Object | Erbamat |
—
|
NE NERFINISHED |
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: Erbamat | Statement: [Franciacorta, emergingGrape, Erbamat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergingGrape Context triple: [Franciacorta, emergingGrape, Erbamat]
-
A.
secondaryGrape
Indicates that one grape variety serves as a secondary or supporting component in a wine blend relative to the primary grape.
-
B.
grapeVarietal
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
-
C.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
D.
knownForGrape
chosen
Indicates that an entity (such as a region, producer, or product) is notably associated with or recognized for a particular grape variety.
-
E.
grapeProduct
Indicates that one entity is a product derived from or made using 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.