Triple
T9760639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgon |
E236659
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Beaujolais |
E46782
|
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: Beaujolais | Statement: [Morgon, locatedIn, Beaujolais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaujolais Context triple: [Morgon, locatedIn, Beaujolais]
-
A.
Beaujolais
chosen
Beaujolais is a French wine-producing region best known for its light, fruity red wines made primarily from the Gamay grape, including the popular Beaujolais Nouveau.
-
B.
Volnay AOC
Volnay AOC is a prestigious red wine appellation in Burgundy’s Côte de Beaune, renowned for its elegant, aromatic Pinot Noir wines.
-
C.
Bourgogne AOC
Bourgogne AOC is a broad French appellation in Burgundy that covers regional wines produced from Pinot Noir and Chardonnay across much of the Bourgogne wine region.
-
D.
Côtes du Rhône
Côtes du Rhône is a major French wine appellation in the Rhône Valley known for its blended red, white, and rosé wines, particularly Grenache-based reds.
-
E.
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.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04ad9008190badfcebe2072ab83 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d048c5081908c891633129dc5d6 |
completed | April 5, 2026, 7:19 a.m. |
Created at: March 30, 2026, 8:25 p.m.