Triple

T9262654
Position Surface form Disambiguated ID Type / Status
Subject Rosslare Europort E222615 entity
Predicate hasFerryOperator P5933 FINISHED
Object Brittany Ferries E746786 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: Brittany Ferries | Statement: [Rosslare Europort, hasFerryOperator, Brittany Ferries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brittany Ferries
Context triple: [Rosslare Europort, hasFerryOperator, Brittany Ferries]
  • A. Brittany Ferries chosen
    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.
  • B. Irish Ferries
    Irish Ferries is a major Irish ferry company operating passenger and freight services across the Irish Sea and to continental Europe.
  • C. 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.
  • D. Stena Line
    Stena Line is a major Swedish ferry company that operates passenger and freight services across several European routes.
  • E. Paris–Le Havre
    Paris–Le Havre is a major French intercity rail route linking the capital Paris with the port city of Le Havre in Normandy.
  • 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.