Triple

T14560872
Position Surface form Disambiguated ID Type / Status
Subject Nyhavn Canal E341659 entity
Predicate hasViewOf P854 FINISHED
Object Copenhagen Harbor E1078945 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: Copenhagen Harbor | Statement: [Nyhavn Canal, hasViewOf, Copenhagen Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Harbor
Context triple: [Nyhavn Canal, hasViewOf, Copenhagen Harbor]
  • A. Copenhagen harbor chosen
    Copenhagen harbor is the central waterfront and port area of Denmark’s capital, known for its historic docks, modern architecture, and popular promenades along the water.
  • B. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • C. Aarhus Bay
    Aarhus Bay is a coastal body of water in eastern Jutland, Denmark, forming part of the Kattegat and serving as the maritime setting for the city of Aarhus.
  • 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. Kolding Fjord
    Kolding Fjord is a scenic inlet of the Little Belt in southeastern Jutland, Denmark, known for its sheltered waters, natural landscapes, and the coastal city of Kolding along its shores.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b1760481909119db555fd05429 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.