Triple
T764910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice Côte d’Azur Airport |
E16153
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | French Riviera |
E73737
|
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: French Riviera | Statement: [Nice Côte d’Azur Airport, serves, French Riviera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Riviera Context triple: [Nice Côte d’Azur Airport, serves, French Riviera]
-
A.
French Riviera
chosen
The French Riviera is a glamorous Mediterranean coastline in southeastern France renowned for its sunny climate, beaches, luxury resorts, and vibrant artistic and cultural heritage.
-
B.
Roc d’Azur
Roc d’Azur is a major annual mountain biking festival and race event held in France, attracting thousands of amateur and professional cyclists from around the world.
-
C.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
D.
Romandie
Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
-
E.
Southern France
Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69dfeb08190b54a476cfa66e6d6 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a792851cc481908d019836ff98d46d |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:37 p.m.