Triple

T14093224
Position Surface form Disambiguated ID Type / Status
Subject Irish Ferries E339186 entity
Predicate operatorOf P179 FINISHED
Object Dublin Swift E1079323 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: Dublin Swift | Statement: [Irish Ferries, operatorOf, Dublin Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin Swift
Context triple: [Irish Ferries, operatorOf, Dublin Swift]
  • A. Dublin Swift chosen
    Dublin Swift is a high-speed passenger and vehicle ferry operated by Irish Ferries, primarily serving routes across the Irish Sea.
  • B. Douglas–Dublin
    Douglas–Dublin is a ferry route across the Irish Sea linking the Isle of Man’s capital, Douglas, with Dublin in Ireland.
  • C. Liverpool–Dublin
    Liverpool–Dublin is a major Irish Sea ferry route linking the port city of Liverpool in northwest England with Ireland’s capital, Dublin.
  • D. Skibbereen
    Skibbereen is a town in West Cork, Ireland, known for its rich history, vibrant arts scene, and its role as a center of remembrance for the Great Famine.
  • E. Dublin Ferryport Terminals
    Dublin Ferryport Terminals is a major roll-on/roll-off ferry terminal in Dublin Port, Ireland, handling passenger and freight services on routes primarily between Ireland and the United Kingdom.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee47f0881908aea8b5231b93f2f completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf006f7481909149779de4d7cd2e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.