Triple
T5050428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arpitania |
E113770
|
entity |
| Predicate | overlapsWith |
P1867
|
FINISHED |
| Object | Lyonnais |
E426772
|
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: Lyonnais | Statement: [Arpitania, overlapsWith, Lyonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyonnais Context triple: [Arpitania, overlapsWith, Lyonnais]
-
A.
Lyonnais
chosen
Lyonnais is a historical region in east-central France centered around the city of Lyon, known for its rich cultural heritage, gastronomy, and role as a major economic hub.
-
B.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Tournefeuillais
Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
-
E.
Libournais
Libournais is a renowned wine-producing region on Bordeaux’s Right Bank in southwestern France, known for its Merlot-dominant red wines and appellations such as Pomerol and Saint-Émilion.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7425df74819091cfde348dd16a68 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea480fee88190a4302301259f29ba |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.