Triple

T23390559
Position Surface form Disambiguated ID Type / Status
Subject East Cowes ferry terminal E594003 entity
Predicate operator P179 FINISHED
Object Red Funnel E324973 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: Red Funnel | Statement: [East Cowes ferry terminal, operator, Red Funnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Funnel
Context triple: [East Cowes ferry terminal, operator, Red Funnel]
  • A. Red Funnel chosen
    Red Funnel is a long-established ferry company operating passenger and vehicle services between the Isle of Wight and mainland England.
  • B. Wherry Lines
    The Wherry Lines are a network of scenic railway routes in Norfolk, England, connecting Norwich with coastal towns such as Great Yarmouth and Lowestoft through the Broads.
  • 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. Wightlink
    Wightlink is a major British ferry company that operates passenger and vehicle services across the Solent between mainland England and the Isle of Wight.
  • E. Polferries
    Polferries is a Polish state-owned ferry operator providing passenger and freight services across the Baltic Sea, particularly between Poland and Scandinavia.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49bdfec8190afa592c66660c279 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dec070c81908e86b1c7fc50fc83 completed May 19, 2026, 12:56 p.m.
Created at: April 17, 2026, 5:35 p.m.