Triple
T13680023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aude |
E327974
|
entity |
| Predicate | hasWineRegion |
P285
|
FINISHED |
| Object | Minervois AOC |
E92447
|
NE 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: Minervois AOC | Statement: [Aude, hasWineRegion, Minervois AOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minervois AOC Context triple: [Aude, hasWineRegion, Minervois AOC]
-
A.
Minervois AOC
chosen
Minervois AOC is a renowned French wine appellation in southern Occitanie, known primarily for its robust red wines made from Mediterranean grape varieties.
-
B.
Arbois AOC
Arbois AOC is a French wine appellation in the Jura region, renowned for its distinctive red, white, and especially oxidative Vin Jaune wines.
-
C.
Chiroubles AOC
Chiroubles AOC is a French appellation in the Beaujolais region known for producing light, fragrant red wines primarily from the Gamay grape.
-
D.
Montagny AOC
Montagny AOC is a French appellation in the Côte Chalonnaise of Burgundy known for producing dry white wines exclusively from Chardonnay grapes.
-
E.
Bonnezeaux AOC
Bonnezeaux AOC is a renowned French appellation in the Loire Valley that produces rich, sweet white wines primarily from botrytized Chenin Blanc grapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4a4a50819098bd4348eba19ee7 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:53 p.m.