Triple
T2354737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannes |
E47528
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Mandelieu-la-Napoule
Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
|
E268753
|
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: Mandelieu-la-Napoule | Statement: [Cannes, locatedNear, Mandelieu-la-Napoule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandelieu-la-Napoule Context triple: [Cannes, locatedNear, Mandelieu-la-Napoule]
-
A.
Le Cannet
Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
-
B.
Juan-les-Pins
Juan-les-Pins is a seaside resort town on the French Riviera, known for its beaches, nightlife, and jazz festival.
-
C.
Antibes
Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
-
D.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
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. 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: Mandelieu-la-Napoule Triple: [Cannes, locatedNear, Mandelieu-la-Napoule]
Generated description
Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandelieu-la-Napoule Target entity description: Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
-
A.
Le Cannet
Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
-
B.
Juan-les-Pins
Juan-les-Pins is a seaside resort town on the French Riviera, known for its beaches, nightlife, and jazz festival.
-
C.
Antibes
Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
-
D.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
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. 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fbb1fc8190b97f4e4ed386abc3 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0913e748190bbb5c54b86b415bd |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef57af0ac8190a0a7a5c321ff90a1 |
completed | March 9, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6f613ac8190b8951d8a62dfba22 |
completed | March 9, 2026, 4:36 p.m. |
Created at: March 4, 2026, 7:54 p.m.