Triple
T18686523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Seyne-sur-Mer |
E456879
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Saint-Mandrier-sur-Mer |
—
|
NE NERFINISHED |
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-Mandrier-sur-Mer | Statement: [La Seyne-sur-Mer, hasNeighbour, Saint-Mandrier-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Mandrier-sur-Mer Context triple: [La Seyne-sur-Mer, hasNeighbour, Saint-Mandrier-sur-Mer]
-
A.
Saint-Mandrier-sur-Mer
chosen
Saint-Mandrier-sur-Mer is a coastal commune on a peninsula in southeastern France, known for its Mediterranean harbor, beaches, and proximity to the city of Toulon.
-
B.
Sainte-Maxime
Sainte-Maxime is a seaside resort town on the French Riviera known for its Mediterranean beaches, marina, and views across the bay to Saint-Tropez.
-
C.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
D.
Pierrefeu-du-Var
Pierrefeu-du-Var is a commune in the Var department of southeastern France, known for its Provençal character and surrounding vineyards.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.