Triple
T12728902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corton-Charlemagne |
E304178
|
entity |
| Predicate | communeIncludes |
P51099
|
FINISHED |
| Object | Ladoix-Serrigny |
E59134
|
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: Ladoix-Serrigny | Statement: [Corton-Charlemagne, communeIncludes, Ladoix-Serrigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladoix-Serrigny Context triple: [Corton-Charlemagne, communeIncludes, Ladoix-Serrigny]
-
A.
Ladoix-Serrigny
chosen
Ladoix-Serrigny is a wine-producing village in Burgundy’s Côte de Beaune region of France, known for its red and white wines from nearby prestigious vineyards.
-
B.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
C.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
D.
Potigny
Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Souvigny
Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0a5a58819082111550a65a04b9 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 5:25 p.m.