Triple

T14100621
Position Surface form Disambiguated ID Type / Status
Subject Royal Danish Library E339369 entity
Predicate overlooks P1323 FINISHED
Object Copenhagen Harbour 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 Harbour | Statement: [Royal Danish Library, overlooks, Copenhagen Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Harbour
Context triple: [Royal Danish Library, overlooks, Copenhagen Harbour]
  • 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. Helsingør Harbor
    Helsingør Harbor is the main port area of the Danish city of Helsingør, serving as a hub for maritime traffic, local fishing, and ferry connections across the Øresund Strait.
  • C. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • 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. Nyborg Harbour
    Nyborg Harbour is a Danish port facility in the coastal town of Nyborg on the island of Funen, serving local maritime traffic, fishing, and recreational boating.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27ff5b7081908ab27d5851b274ea completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:22 p.m.