Triple

T10634419
Position Surface form Disambiguated ID Type / Status
Subject Vlissingen E250539 entity
Predicate hasFerryConnection P1831 FINISHED
Object Breskens E472016 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: Breskens | Statement: [Vlissingen, hasFerryConnection, Breskens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breskens
Context triple: [Vlissingen, hasFerryConnection, Breskens]
  • A. Breskens chosen
    Breskens is a coastal town in the southwest of the Netherlands, known for its fishing harbor, North Sea beaches, and ferry connection across the Western Scheldt.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Hazebrouck
    Hazebrouck is a commune in northern France known as a local commercial and transport hub within the historical region of French Flanders.
  • D. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • E. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbace2a5388190bb685d347dd8aa6c completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:03 p.m.