Triple

T1819611
Position Surface form Disambiguated ID Type / Status
Subject Brakel E40512 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Zottegem
Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
 E326228 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: Zottegem | Statement: [Brakel, hasNeighbouringMunicipality, Zottegem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zottegem
Context triple: [Brakel, hasNeighbouringMunicipality, Zottegem]
  • A. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • B. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • C. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • D. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • E. Eupen
    Eupen is a town in eastern Belgium that serves as the administrative center of the country’s German-speaking Community.
  • 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: Zottegem
Triple: [Brakel, hasNeighbouringMunicipality, Zottegem]
Generated description
Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zottegem
Target entity description: Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • A. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • B. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • C. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • D. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • E. Eupen
    Eupen is a town in eastern Belgium that serves as the administrative center of the country’s German-speaking Community.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20312b56081908ec4aba034592402 completed March 12, 2026, 12:04 a.m.
NEDg Description generation batch_69b20420e7448190b04b68dcb2552a4f completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b2048310bc8190af647c4f7773815a completed March 12, 2026, 12:10 a.m.
Created at: March 4, 2026, 7:32 p.m.