Triple

T12813976
Position Surface form Disambiguated ID Type / Status
Subject Fehmarn Belt E306342 entity
Predicate plannedFixedLinkConnects P845 FINISHED
Object Rødbyhavn E788124 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: Rødbyhavn | Statement: [Fehmarn Belt, plannedFixedLinkConnects, Rødbyhavn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rødbyhavn
Context triple: [Fehmarn Belt, plannedFixedLinkConnects, Rødbyhavn]
  • A. Rødbyhavn chosen
    Rødbyhavn is a Danish ferry and port town on the island of Lolland, known as a key transport hub linking Denmark and Germany across the Fehmarn Belt.
  • B. Østerby Havn
    Østerby Havn is a small coastal village and harbor on the Danish island of Læsø, known for its fishing, marina facilities, and maritime character.
  • C. Svaneke Harbor
    Svaneke Harbor is a small, picturesque coastal harbor in the town of Svaneke on the Danish island of Bornholm, known for its historic charm and maritime atmosphere.
  • D. Vejle Harbour
    Vejle Harbour is the waterfront port area of the Danish city of Vejle, known for its mix of maritime activity, modern architecture, and urban redevelopment along Vejle Fjord.
  • E. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b97ffd481909c540f52c781f63f completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.