Triple

T10283971
Position Surface form Disambiguated ID Type / Status
Subject Overijse E241178 entity
Predicate sharesRegionWith P23812 FINISHED
Object Kortenberg
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.
E871146 NE FINISHED

How this triple was built (4 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: [Overijse, sharesRegionWith, Kortenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortenberg
Context triple: [Overijse, sharesRegionWith, Kortenberg]
  • A. 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.
  • B. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • C. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • D. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • E. Diedenbergen
    Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kortenberg
Triple: [Overijse, sharesRegionWith, Kortenberg]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kortenberg
Target entity description: 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.
  • A. 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.
  • B. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • C. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • D. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • E. Diedenbergen
    Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
  • F. None of above. chosen

Provenance (5 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b5853081909cd0397e08a0f44d completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9336139088190bd9ea3e2333c59cb completed April 10, 2026, 5:29 p.m.
NEDg Description generation batch_69d938c697f481908a93296ee7f82eae completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d940176c988190b7583ce9f2c21898 completed April 10, 2026, 6:23 p.m.
Created at: April 6, 2026, 11:39 a.m.