Triple

T22010780
Position Surface form Disambiguated ID Type / Status
Subject Mol E543566 entity
Predicate hasSubdivision P747 FINISHED
Object Millegem 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: Millegem | Statement: [Mol, hasSubdivision, Millegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millegem
Context triple: [Mol, hasSubdivision, Millegem]
  • A. Maldegem
    Maldegem is a municipality in the Belgian province of East Flanders, known for its historical town center and heritage railway attractions.
  • B. Wommelgem chosen
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • C. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • D. Edegem
    Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
  • E. Lievegem
    Lievegem is a municipality in the Belgian province of East Flanders, formed by the merger of several former municipalities and situated within the region around the city of Ghent.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.