Triple

T13739602
Position Surface form Disambiguated ID Type / Status
Subject Geraardsbergen E330048 entity
Predicate contains P35 FINISHED
Object Waarbeke
Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
E1096204 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: Waarbeke | Statement: [Geraardsbergen, contains, Waarbeke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waarbeke
Context triple: [Geraardsbergen, contains, Waarbeke]
  • A. Wielsbeke
    Wielsbeke is a municipality in the Belgian province of West Flanders.
  • B. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • C. Borsbeek
    Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • D. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • E. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • 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: Waarbeke
Triple: [Geraardsbergen, contains, Waarbeke]
Generated description
Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waarbeke
Target entity description: Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
  • A. Wielsbeke
    Wielsbeke is a municipality in the Belgian province of West Flanders.
  • B. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • C. Borsbeek
    Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • D. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • E. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c20e45c8190968a5d88a2b3fe37 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd5067188c81908328426b8bafb6dc completed May 8, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fd511fe3d48190af66cb10abeb7499 completed May 8, 2026, 2:57 a.m.
Created at: April 9, 2026, 9:55 p.m.