Triple
T6189437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baie des Anges |
E138148
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Saint-Laurent-du-Var |
E445966
|
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: Saint-Laurent-du-Var | Statement: [Baie des Anges, borders, Saint-Laurent-du-Var]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Laurent-du-Var Context triple: [Baie des Anges, borders, Saint-Laurent-du-Var]
-
A.
Saint-Laurent-du-Var
chosen
Saint-Laurent-du-Var is a coastal commune in southeastern France, located near Nice on the French Riviera.
-
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.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
E.
Villefranche-sur-Mer
Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d86da748190932c68d415dea01d |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:19 p.m.