Triple
T13658005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reblochon |
E326910
|
entity |
| Predicate | typicalWinePairingRegion |
P6176
|
FINISHED |
| Object | Savoie wines |
—
|
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: Savoie wines | Statement: [Reblochon, typicalWinePairingRegion, Savoie wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWinePairingRegion Context triple: [Reblochon, typicalWinePairingRegion, Savoie wines]
-
A.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
-
B.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
C.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
-
D.
wineSubregion
Indicates that one region is a subregion within a larger, defined wine-producing region.
-
E.
wineRegionGatewayTo
Indicates that one wine region serves as an entry point or primary access route to another wine region.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.