Triple

T6342126
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Halle-Vilvoorde E142651 entity
Predicate hasMunicipality P847 FINISHED
Object Wemmel
Wemmel is a municipality in the Flemish Brabant province of Belgium, located just northwest of Brussels and known for its suburban residential character.
E680554 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: Wemmel | Statement: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Wemmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wemmel
Context triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Wemmel]
  • A. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • B. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • C. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • D. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • E. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • 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: Wemmel
Triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Wemmel]
Generated description
Wemmel is a municipality in the Flemish Brabant province of Belgium, located just northwest of Brussels and known for its suburban residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wemmel
Target entity description: Wemmel is a municipality in the Flemish Brabant province of Belgium, located just northwest of Brussels and known for its suburban residential character.
  • A. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • B. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • C. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • D. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • E. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674445748190bce2d638048be77c completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a1f26d948190b887c4ccc19548cc completed March 29, 2026, 3:52 a.m.
NEDg Description generation batch_69c8a295f4108190ac84575f8fe4b3dc completed March 29, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_69c8a2fe5e4c8190b522820fcc5ece93 completed March 29, 2026, 3:56 a.m.
Created at: March 22, 2026, 4:30 p.m.