Triple

T22417577
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Veurne E554161 entity
Predicate hasCoastalMunicipality P41457 FINISHED
Object Nieuwpoort 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: Nieuwpoort | Statement: [Arrondissement of Veurne, hasCoastalMunicipality, Nieuwpoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuwpoort
Context triple: [Arrondissement of Veurne, hasCoastalMunicipality, Nieuwpoort]
  • A. Nieuwpoort chosen
    Nieuwpoort is a coastal town in West Flanders, Belgium, known for its historic harbor and its strategic role in World War I.
  • B. Nieuwpoort
    Nieuwpoort is a small historic city in the Dutch province of South Holland, known for its well-preserved fortifications and picturesque setting along the River Lek.
  • C. Alveringem
    Alveringem is a rural municipality in the West Flanders province of Belgium, known for its historic villages and agricultural landscape near the French border.
  • D. Milport
    Milport is a fictional British parliamentary constituency featured in Patrick O’Brian’s Aubrey–Maturin historical naval novels.
  • E. Wilhelmshaven
    Wilhelmshaven is a coastal city in northwestern Germany known for its major naval base and port on the North Sea.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15947dcc08190a584636f87669316 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.