Triple
T22380903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provence-Alpes-Côte d'Azur regional rail network |
E553269
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Menton |
—
|
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: Menton | Statement: [Provence-Alpes-Côte d'Azur regional rail network, serves, Menton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menton Context triple: [Provence-Alpes-Côte d'Azur regional rail network, serves, Menton]
-
A.
Menton
chosen
Menton is a picturesque coastal town on the French Riviera near the Italian border, known for its mild climate, gardens, and lemon festival.
-
B.
Bognes
Bognes is a small ferry port village in northern Norway that serves as a key road and ferry junction along the E6 and E10 highways.
-
C.
L’Île-Rousse town
L’Île-Rousse town is a picturesque coastal commune in northern Corsica, France, known for its red granite islets, sandy beaches, and Mediterranean charm.
-
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 (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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.