Triple

T10473075
Position Surface form Disambiguated ID Type / Status
Subject Koksijde E246975 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Oostduinkerke E639568 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: Oostduinkerke | Statement: [Koksijde, hasMunicipalSection, Oostduinkerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oostduinkerke
Context triple: [Koksijde, hasMunicipalSection, Oostduinkerke]
  • A. Oostduinkerke chosen
    Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
  • B. Deurne
    Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • C. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • D. Buitendijk
    Buitendijk is a Dutch surname borne by individuals such as academic leader Simone Buitendijk.
  • E. Katwijk
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094daac081908e0ba5e10c1bbb67 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0683b90819098864f73b6976517 completed May 8, 2026, 2:17 p.m.
Created at: April 6, 2026, 12:20 p.m.