Triple

T10132673
Position Surface form Disambiguated ID Type / Status
Subject Irish Sea ferry network E226776 entity
Predicate hasOperator P179 FINISHED
Object P&O Ferries E232409 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: P&O Ferries | Statement: [Irish Sea ferry network, hasOperator, P&O Ferries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P&O Ferries
Context triple: [Irish Sea ferry network, hasOperator, P&O Ferries]
  • A. P&O Ferries chosen
    P&O Ferries is a major British ferry operator providing passenger and freight services across routes in the United Kingdom and Europe.
  • B. Polferries
    Polferries is a Polish state-owned ferry operator providing passenger and freight services across the Baltic Sea, particularly between Poland and Scandinavia.
  • C. Red Funnel
    Red Funnel is a long-established ferry company operating passenger and vehicle services between the Isle of Wight and mainland England.
  • D. P&O Cruises
    P&O Cruises is a British cruise line known for operating a fleet of ocean liners and cruise ships serving holidaymakers, particularly in the UK and Australia.
  • 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_69d3007765048190992c9a146ab0f1f6 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:06 p.m.