Triple
T3030491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comtat Venaissin |
E82881
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | L’Isle-sur-la-Sorgue |
E203215
|
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: L’Isle-sur-la-Sorgue | Statement: [Comtat Venaissin, contains, L’Isle-sur-la-Sorgue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Isle-sur-la-Sorgue Context triple: [Comtat Venaissin, contains, L’Isle-sur-la-Sorgue]
-
A.
L’Isle-sur-la-Sorgue
chosen
L’Isle-sur-la-Sorgue is a picturesque Provençal town in southeastern France renowned for its canals, antique markets, and historic waterwheels.
-
B.
Sorgues
Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
-
C.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
D.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
-
E.
Cimiez
Cimiez is a historic and upscale residential district in Nice, France, known for its Roman ruins, Belle Époque architecture, and cultural institutions.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aecd384819085d15f701add7c44 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2034727808190b016223c8ac911c3 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:01 p.m.