Triple
T9262652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosslare Europort |
E222615
|
entity |
| Predicate | hasFerryOperator |
P5933
|
FINISHED |
| Object | Stena Line |
E226680
|
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: Stena Line | Statement: [Rosslare Europort, hasFerryOperator, Stena Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stena Line Context triple: [Rosslare Europort, hasFerryOperator, Stena Line]
-
A.
Stena Line
chosen
Stena Line is a major Swedish ferry company that operates passenger and freight services across several European routes.
-
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.
Irish Ferries
Irish Ferries is a major Irish ferry company operating passenger and freight services across the Irish Sea and to continental Europe.
-
D.
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.
-
E.
Waxholmsbolaget ferries
Waxholmsbolaget ferries are a public ferry service operating in the Stockholm archipelago, connecting its many islands with regular passenger and cargo 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07189bc48190987315bd5d3ce4f1 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c0526c48190aae93a70cfe5562c |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:32 p.m.