Triple

T21258060
Position Surface form Disambiguated ID Type / Status
Subject Belfry of Roeselare E523919 entity
Predicate hasViewOver P1323 FINISHED
Object city of Roeselare 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: city of Roeselare | Statement: [Belfry of Roeselare, hasViewOver, city of Roeselare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Roeselare
Context triple: [Belfry of Roeselare, hasViewOver, city of Roeselare]
  • A. Roeselare chosen
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • B. Gosselies
    Gosselies is a district of the city of Charleroi in Wallonia, Belgium, known for its proximity to Brussels South Charleroi Airport and its industrial and aeronautical activities.
  • C. Kleine-Brogel
    Kleine-Brogel is a village in the municipality of Peer in the Belgian province of Limburg, known for hosting a major military air base.
  • D. Harelbeke
    Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
  • E. Houthalen-Helchteren
    Houthalen-Helchteren is a municipality in the Belgian province of Limburg, known for its mix of residential areas, former mining sites, and surrounding natural reserves.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:58 p.m.