Triple

T21175398
Position Surface form Disambiguated ID Type / Status
Subject Port of Nynäshamn E521797 entity
Predicate usedBy P260 FINISHED
Object Stena Line NE NERFINISHED

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: Stena Line | Statement: [Port of Nynäshamn, usedBy, Stena Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stena Line
Context triple: [Port of Nynäshamn, usedBy, Stena Line]
  • A. Stena Line chosen
    Stena Line is a major Swedish ferry company that operates passenger and freight services across several European routes.
  • B. Gotland ferries
    Gotland ferries are passenger and vehicle ferry services connecting the Swedish island of Gotland with the mainland across the Baltic Sea.
  • 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. Orkney Ferries
    Orkney Ferries is a local ferry operator in the Orkney Islands of Scotland, providing passenger and vehicle services between the archipelago’s inhabited islands.
  • E. Aquabus Ferries
    Aquabus Ferries is a small passenger ferry service operating in Vancouver, British Columbia, known for transporting riders across False Creek and connecting key waterfront destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271597288190b04baff9ca8d866c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.