Triple
T11089133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinzelles |
E262202
|
entity |
| Predicate | locatedInSubregion |
P40
|
FINISHED |
| Object |
Côte Mâconnaise
Côte Mâconnaise is a wine-producing area in the southern part of Burgundy, France, known for its Chardonnay-based white wines.
|
E905296
|
NE FINISHED |
How this triple was built (4 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: Côte Mâconnaise | Statement: [Vinzelles, locatedInSubregion, Côte Mâconnaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Côte Mâconnaise Context triple: [Vinzelles, locatedInSubregion, Côte Mâconnaise]
-
A.
Côte des Bar
Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
-
B.
Côteaux
Côteaux is a coastal commune in Haiti’s Sud Department known for its rural character and Caribbean shoreline.
-
C.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Côtes du Frontonnais
Côtes du Frontonnais is the former name of the Fronton wine appellation in southwest France, known for its distinctive red and rosé wines made primarily from the Négrette grape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Côte Mâconnaise Triple: [Vinzelles, locatedInSubregion, Côte Mâconnaise]
Generated description
Côte Mâconnaise is a wine-producing area in the southern part of Burgundy, France, known for its Chardonnay-based white wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Côte Mâconnaise Target entity description: Côte Mâconnaise is a wine-producing area in the southern part of Burgundy, France, known for its Chardonnay-based white wines.
-
A.
Côte des Bar
Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
-
B.
Côteaux
Côteaux is a coastal commune in Haiti’s Sud Department known for its rural character and Caribbean shoreline.
-
C.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Côtes du Frontonnais
Côtes du Frontonnais is the former name of the Fronton wine appellation in southwest France, known for its distinctive red and rosé wines made primarily from the Négrette grape.
- F. None of above. chosen
Provenance (5 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42e1daa3c8190b598adcf9bac00f3 |
completed | April 19, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e42f415b1081909f9eedcb3640cdc3 |
completed | April 19, 2026, 1:26 a.m. |
Created at: April 8, 2026, 9:27 p.m.