Triple
T15145413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Marseille |
E361791
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Marseille skyline |
E15143
|
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: Marseille skyline | Statement: [Bay of Marseille, hasViewOf, Marseille skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marseille skyline Context triple: [Bay of Marseille, hasViewOf, Marseille skyline]
-
A.
Marseille
chosen
Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
-
B.
City of Nice
The City of Nice is a major coastal city on the French Riviera, renowned for its Mediterranean climate, historic old town, and rich artistic and cultural heritage.
-
C.
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.
-
D.
Marsella
Marsella is a small Colombian town known for its traditional architecture and coffee-growing culture in the Andean region.
-
E.
Paris skyline
The Paris skyline is the iconic cityscape of France’s capital, marked by landmarks like the Eiffel Tower, historic Haussmannian rooftops, and church spires rising above the urban landscape.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff02e648190bd10f04a374da227 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.