Triple

T20216281
Position Surface form Disambiguated ID Type / Status
Subject St. Stephen’s Church (Stephanuskerk) E495133 entity
Predicate locatedIn P40 FINISHED
Object Hasselt, Overijssel 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: Hasselt, Overijssel | Statement: [St. Stephen’s Church (Stephanuskerk), locatedIn, Hasselt, Overijssel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasselt, Overijssel
Context triple: [St. Stephen’s Church (Stephanuskerk), locatedIn, Hasselt, Overijssel]
  • A. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • B. Hasselt chosen
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • C. Hasselt, Belgium
    Hasselt is a city in the Flemish region of Belgium known as the capital of the province of Limburg and recognized for its jenever (gin) tradition and vibrant cultural scene.
  • D. Limburg (Belgium)
    Limburg (Belgium) is a Dutch-speaking province in northeastern Belgium known for its green landscapes, cycling routes, and historic towns such as Hasselt and Tongeren.
  • E. Nederhasselt
    Nederhasselt is a village in the Flemish region of Belgium that forms one of the municipal districts of the city of Ninove.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.