Triple

T15056729
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Leuven E379514 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Kortenberg E871146 NE FINISHED

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: Kortenberg | Statement: [Arrondissement of Leuven, containsAdministrativeTerritorialEntity, Kortenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortenberg
Context triple: [Arrondissement of Leuven, containsAdministrativeTerritorialEntity, Kortenberg]
  • A. Kortenberg chosen
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • B. Kortenaken
    Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
  • C. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • D. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • E. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda937f788190899d81bbb2084443 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:01 a.m.