Triple
T34824167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conero |
E1003869
|
entity |
| Predicate | DOCGName |
P42729
|
FINISHED |
| Object | Conero Riserva DOCG |
—
|
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: Conero Riserva DOCG | Statement: [Conero, DOCGName, Conero Riserva DOCG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DOCGName Context triple: [Conero, DOCGName, Conero Riserva DOCG]
-
A.
notableDOCG
Indicates that there is a notable or especially significant DOCG (Denominazione di Origine Controllata e Garantita) designation associated with the subject.
-
B.
firstDOCGWine
Indicates that the subject is the first wine to receive DOCG (Denominazione di Origine Controllata e Garantita) status within a given context or region.
-
C.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
D.
hasWineDenomination
chosen
Indicates that a wine is classified under a specific official denomination or appellation.
-
E.
appellationEnLangue
Indicates that an entity is designated by a specific appellation or name expressed in a given language.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77adf71d88190812e930bcf1e2ce5 |
completed | May 3, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 4 p.m.