Triple

T20581866
Position Surface form Disambiguated ID Type / Status
Subject Lys (Leie) E505676 entity
Predicate flowsThrough P225 FINISHED
Object Wervik 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: Wervik | Statement: [Lys (Leie), flowsThrough, Wervik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wervik
Context triple: [Lys (Leie), flowsThrough, Wervik]
  • A. Wervik chosen
    Wervik is a historic town and municipality in the Belgian province of West Flanders, situated along the river Lys near the French border.
  • B. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • C. Blankenberge
    Blankenberge is a Belgian coastal town on the North Sea known for its sandy beaches, seaside promenade, and tourism.
  • D. De Panne
    De Panne is a Belgian seaside resort town on the North Sea coast, known for its beaches, dunes, and as the westernmost point of Belgium.
  • E. Lieshout
    Lieshout is a village in the Dutch province of North Brabant, known for its rural character and the Bavaria brewery.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90f7e34819086b1745dcd53ba25 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:40 a.m.