Triple

T10132671
Position Surface form Disambiguated ID Type / Status
Subject Irish Sea ferry network E226776 entity
Predicate hasOperator P179 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: [Irish Sea ferry network, hasOperator, Stena Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stena Line
Context triple: [Irish Sea ferry network, hasOperator, 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. 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.
  • D. Irish Ferries
    Irish Ferries is a major Irish ferry company operating passenger and freight services across the Irish Sea and to continental Europe.
  • E. 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.
  • 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.