Triple
T6434194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagnes-sur-Mer |
E129851
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cagnes-Ville |
E597701
|
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: Cagnes-Ville | Statement: [Cagnes-sur-Mer, hasPart, Cagnes-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cagnes-Ville Context triple: [Cagnes-sur-Mer, hasPart, Cagnes-Ville]
-
A.
Cagnes-sur-Mer
Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its Mediterranean beaches and historic hilltop village.
-
B.
Le Cannet
Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
-
C.
Mouans-Sartoux
Mouans-Sartoux is a commune in southeastern France known for its cultural events and location between Cannes and Grasse on the French Riviera.
-
D.
Haut-de-Cagnes
chosen
Haut-de-Cagnes is the historic medieval hilltop quarter of Cagnes-sur-Mer on the French Riviera, known for its cobbled streets, castle, and artistic heritage.
-
E.
Vieux-Nice
Vieux-Nice is the historic old town of Nice, France, known for its narrow winding streets, colorful buildings, bustling markets, and vibrant Mediterranean atmosphere.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693f73ec8190883470b57f8141aa |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c67c3f115481909879d637fc231556 |
completed | March 27, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:45 p.m.