Triple
T24259607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant’Antimo DOC |
E604661
|
entity |
| Predicate | allowsBlendOf |
P56866
|
FINISHED |
| Object | international grape varieties and local grapes |
—
|
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: international grape varieties and local grapes | Statement: [Sant’Antimo DOC, allowsBlendOf, international grape varieties and local grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsBlendOf Context triple: [Sant’Antimo DOC, allowsBlendOf, international grape varieties and local grapes]
-
A.
isBlended
Indicates that one entity has been mixed or combined thoroughly with another (or others) to form a uniform whole.
-
B.
hasBlendOfOldAndNew
Indicates that something combines or integrates both traditional/older elements and modern/newer elements into a single whole.
-
C.
usedInBlends
chosen
Indicates that something serves as an ingredient or component within one or more mixtures, combinations, or blends.
-
D.
oftenBlendedAs
Indicates that two or more entities are frequently mixed or combined together, typically to form a unified product or result.
-
E.
typicalBlendStyle
Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6592688190a9c6850a2e979858 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.