Triple
T4283635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Burgundy |
E97213
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Basse-Bourgogne |
E97213
|
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: Basse-Bourgogne | Statement: [Lower Burgundy, alsoKnownAs, Basse-Bourgogne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basse-Bourgogne Context triple: [Lower Burgundy, alsoKnownAs, Basse-Bourgogne]
-
A.
Lower Burgundy
chosen
Lower Burgundy was a medieval kingdom in what is now southeastern France and surrounding regions, later incorporated into the Kingdom of Arles within the Holy Roman Empire.
-
B.
Côte Chalonnaise
Côte Chalonnaise is a wine-producing subregion of Burgundy in eastern France, known for its value-driven red and white wines primarily from Pinot Noir and Chardonnay.
-
C.
Côte d'Or
Côte d'Or is a renowned wine-producing region in Burgundy, France, celebrated for its high-quality Pinot Noir and Chardonnay wines.
-
D.
Mâconnais
Mâconnais is a wine-producing subregion in southern Burgundy, France, best known for its Chardonnay-based white wines.
-
E.
Bourgogne-Franche-Comté
Bourgogne-Franche-Comté is an administrative region in eastern France known for its historic cities, renowned Burgundy vineyards, and diverse landscapes spanning from river valleys to the Jura Mountains.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503c062c81908f9a9eeab5381ec9 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c2023c8190a2359f8cabcecd2c |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.