Triple

T11193598
Position Surface form Disambiguated ID Type / Status
Subject Woodside E264864 entity
Predicate servedBy P82 FINISHED
Object Mersey Ferries E52813 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: Mersey Ferries | Statement: [Woodside, servedBy, Mersey Ferries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mersey Ferries
Context triple: [Woodside, servedBy, Mersey Ferries]
  • A. Mersey Ferry chosen
    The Mersey Ferry is a historic passenger ferry service in northwest England that operates iconic crossings between Liverpool and the Wirral across the River Mersey.
  • B. Red Funnel
    Red Funnel is a long-established ferry company operating passenger and vehicle services between the Isle of Wight and mainland England.
  • C. Liverpool–Douglas ferry route
    The Liverpool–Douglas ferry route is a passenger and vehicle ferry service linking the English city of Liverpool with Douglas on the Isle of Man across the Irish Sea.
  • 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. 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.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55630478c8190aeee4cc219209ccb completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:29 p.m.