Triple
T14942845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Cay |
E372574
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | MSC Cruises |
E983882
|
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: MSC Cruises | Statement: [Ocean Cay, operator, MSC Cruises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSC Cruises Context triple: [Ocean Cay, operator, MSC Cruises]
-
A.
MSC Cruises
chosen
MSC Cruises is a global cruise line based in Switzerland and Italy, known for operating one of the world’s largest and fastest-growing fleets of passenger cruise ships.
-
B.
AIDA Cruises
AIDA Cruises is a German cruise line known for its casual, resort-style voyages primarily catering to the German-speaking market.
-
C.
Celebrity Cruises
Celebrity Cruises is a premium cruise line known for its upscale ships, modern design, and destination-focused itineraries around the world.
-
D.
Costa Cruises
Costa Cruises is an Italian cruise line known for operating a large fleet of holiday ships primarily in Europe and the Mediterranean.
-
E.
Princess Cruises
Princess Cruises is a major international cruise line known for its global itineraries and role in popularizing modern cruise vacations.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.