Triple
T25815140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chianti Montalbano |
E650226
|
entity |
| Predicate | oenologicalTradition |
P59581
|
FINISHED |
| Object | Tuscan winemaking tradition |
—
|
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: Tuscan winemaking tradition | Statement: [Chianti Montalbano, oenologicalTradition, Tuscan winemaking tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oenologicalTradition Context triple: [Chianti Montalbano, oenologicalTradition, Tuscan winemaking tradition]
-
A.
oenologicalPractice
Indicates a relationship where an entity is involved in, applies, or is characterized by a specific winemaking or wine-handling practice.
-
B.
oenologicalSignificance
Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
-
C.
oenologist
Indicates that one entity is an expert in the science and practice of wine and winemaking in relation to another entity.
-
D.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
-
E.
hasWineMakingTradition
chosen
Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c84ac4819091492e52a5a8b873 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:25 a.m.