Triple

T22224887
Position Surface form Disambiguated ID Type / Status
Subject Royal Galleries of Ostend E549311 entity
Predicate partOf P40 FINISHED
Object Ostend seafront 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: Ostend seafront | Statement: [Royal Galleries of Ostend, partOf, Ostend seafront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostend seafront
Context triple: [Royal Galleries of Ostend, partOf, Ostend seafront]
  • A. Ostend chosen
    Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
  • B. Ostend
    Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
  • C. Ostend
    Ostend is a district of Frankfurt am Main in Germany, known for its mix of historic neighborhoods, modern developments, and the European Central Bank’s headquarters.
  • D. Blankenberge
    Blankenberge is a Belgian coastal town on the North Sea known for its sandy beaches, seaside promenade, and tourism.
  • E. Langelinie promenade
    Langelinie promenade is a popular waterfront walkway in Copenhagen, Denmark, known for its harbor views and as the site of the iconic Little Mermaid statue.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b93e2208190aee70ffd82962ea0 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.