Triple

T22960644
Position Surface form Disambiguated ID Type / Status
Subject Lokeren E570885 entity
Predicate region P40 FINISHED
Object Waasland 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: Waasland | Statement: [Lokeren, region, Waasland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waasland
Context triple: [Lokeren, region, Waasland]
  • A. Waasland chosen
    Waasland is a historical region in East Flanders, Belgium, known for its towns such as Sint-Niklaas and its mix of rural landscapes and urban centers.
  • B. Wallem
    Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
  • C. Rupel region
    The Rupel region is an area in the Belgian province of Antwerp known for its river landscapes, former clay and brick industry, and characteristic working-class towns along the Rupel River.
  • D. Borinage
    Borinage is a historic coal-mining region in the province of Hainaut in southwestern Belgium, known for its industrial heritage and its influence on the early work of Vincent van Gogh.
  • E. De Kempen
    De Kempen is a rural cross-border region in the southern Netherlands and northeastern Belgium known for its heathlands, forests, and traditional villages.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f494348190a24f09d3495b0950 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.