Triple
T851912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monaco |
E18404
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port Fontvieille |
E99129
|
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: Port Fontvieille | Statement: [Monaco, hasPort, Port Fontvieille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Fontvieille Context triple: [Monaco, hasPort, Port Fontvieille]
-
A.
Fontvieille
chosen
Fontvieille is a modern district of Monaco built largely on reclaimed land, known for its marina, residential complexes, and commercial facilities.
-
B.
Port of Nice
The Port of Nice is a major harbor on the French Riviera that serves as a hub for passenger ferries, cruise ships, and local maritime activities in the city of Nice.
-
C.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
D.
Vieux-Port de Marseille
Vieux-Port de Marseille is the historic old harbor of Marseille, France, known as the city’s traditional maritime center and a bustling hub of boats, markets, and waterfront cafés.
-
E.
Ajaccio
Ajaccio is a coastal city on the French island of Corsica, best known as the birthplace of Napoleon Bonaparte and now a popular Mediterranean tourist destination.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac22de288190913714d41e5a8e12 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edfe79bc8190bcfb89f4bbc1feb4 |
completed | March 4, 2026, 8:31 a.m. |
Created at: March 1, 2026, 7:39 p.m.