Triple
T10132672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Sea ferry network |
E226776
|
entity |
| Predicate | hasOperator |
P179
|
FINISHED |
| Object | Irish Ferries |
E339186
|
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: Irish Ferries | Statement: [Irish Sea ferry network, hasOperator, Irish Ferries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irish Ferries Context triple: [Irish Sea ferry network, hasOperator, Irish Ferries]
-
A.
Irish Ferries
chosen
Irish Ferries is a major Irish ferry company operating passenger and freight services across the Irish Sea and to continental Europe.
-
B.
P&O Ferries
P&O Ferries is a major British ferry operator providing passenger and freight services across routes in the United Kingdom and Europe.
-
C.
Brittany Ferries
Brittany Ferries is a French ferry company operating passenger and freight services across the English Channel and Bay of Biscay, linking the UK and Ireland with France and Spain.
-
D.
Orkney Ferries
Orkney Ferries is a local ferry operator in the Orkney Islands of Scotland, providing passenger and vehicle services between the archipelago’s inhabited islands.
-
E.
Stena Line
Stena Line is a major Swedish ferry company that operates passenger and freight services across several European routes.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd336cbf48190b647c69675d0b06f |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5ce3fcc8190b1d07dbba34d6bff |
completed | April 5, 2026, 10:44 p.m. |
Created at: March 30, 2026, 9:06 p.m.