Triple
T23915037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castiglione Falletto |
E602058
|
entity |
| Predicate | wineClassificationRole |
P12905
|
FINISHED |
| Object | one of the core communes of Barolo DOCG |
—
|
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: one of the core communes of Barolo DOCG | Statement: [Castiglione Falletto, wineClassificationRole, one of the core communes of Barolo DOCG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineClassificationRole Context triple: [Castiglione Falletto, wineClassificationRole, one of the core communes of Barolo DOCG]
-
A.
wineClassificationSystem
chosen
Indicates a system or scheme used to categorize and organize wines based on defined criteria such as origin, style, or quality.
-
B.
wineCategory
Indicates the classification or type of wine that an entity (such as a specific wine) belongs to.
-
C.
wineVariety
Indicates the specific type or variety of wine associated with an entity.
-
D.
wineSpeciality
Indicates that an entity (such as a person, place, or establishment) is particularly known for, focused on, or distinguished by a specific type or aspect of wine.
-
E.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.