Triple

T16219300
Position Surface form Disambiguated ID Type / Status
Subject Dilbeek E393676 entity
Predicate contains P35 FINISHED
Object Itterbeek
Itterbeek is a village in the Flemish Brabant province of Belgium, now functioning as a sub-municipality of Dilbeek near Brussels.
 E1241738 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: Itterbeek | Statement: [Dilbeek, contains, Itterbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itterbeek
Context triple: [Dilbeek, contains, Itterbeek]
  • A. Bellebeek
    Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Diepenbeek
    Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
  • C. 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.
  • D. Lubbeek
    Lubbeek is a municipality in the Flemish Brabant province of Belgium, situated in the Arrondissement of Leuven.
  • E. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • 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: Itterbeek
Triple: [Dilbeek, contains, Itterbeek]
Generated description
Itterbeek is a village in the Flemish Brabant province of Belgium, now functioning as a sub-municipality of Dilbeek near Brussels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itterbeek
Target entity description: Itterbeek is a village in the Flemish Brabant province of Belgium, now functioning as a sub-municipality of Dilbeek near Brussels.
  • A. Bellebeek
    Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Diepenbeek
    Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
  • C. 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.
  • D. Lubbeek
    Lubbeek is a municipality in the Flemish Brabant province of Belgium, situated in the Arrondissement of Leuven.
  • E. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227f95de081908e1abe32d281dbe7 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb95b348190a006f699c01e85ce completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d0e1650881909eacc90cf99787f4 completed May 10, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1e024e88190bfcb50b42f37949b completed May 10, 2026, 6:43 p.m.
Created at: April 10, 2026, 5:03 a.m.