Triple
T11347415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandelieu-la-Napoule |
E268753
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Théoule-sur-Mer |
E365270
|
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: Théoule-sur-Mer | Statement: [Mandelieu-la-Napoule, nearbyCity, Théoule-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Théoule-sur-Mer Context triple: [Mandelieu-la-Napoule, nearbyCity, Théoule-sur-Mer]
-
A.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
B.
Theoule-sur-Mer
chosen
Théoule-sur-Mer is a picturesque seaside commune on the French Riviera known for its beaches, coves, and views of the Esterel Massif along the Mediterranean coast.
-
C.
Gardanne
Gardanne is a commune in southern France known for its industrial heritage and location between Marseille and Aix-en-Provence.
-
D.
La Seyne-sur-Mer
La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
-
E.
Le Beausset
Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.