Triple
T35863031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albillo Real |
E1037005
|
entity |
| Predicate | grapeCharacter |
P183916
|
FINISHED |
| Object | early ripening |
—
|
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: early ripening | Statement: [Albillo Real, grapeCharacter, early ripening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeCharacter Context triple: [Albillo Real, grapeCharacter, early ripening]
-
A.
knownForGrape
Indicates that an entity (such as a region, producer, or product) is notably associated with or recognized for a particular grape variety.
-
B.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
-
C.
eauxDeVieCharacter
Indicates a relationship where an entity specifies or characterizes the particular qualities or style of an eau-de-vie (a distilled fruit spirit).
-
D.
grapeVarietal
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
-
E.
grapeRole_Muscadelle
Indicates that the entity has the role or function associated with the Muscadelle grape variety in a wine-related context.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.