Triple

T7620381
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Antwerp E172475 entity
Predicate contains P35 FINISHED
Object Zoersel
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
E691570 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: Zoersel | Statement: [Arrondissement of Antwerp, contains, Zoersel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoersel
Context triple: [Arrondissement of Antwerp, contains, Zoersel]
  • A. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • C. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Wuustwezel
    Wuustwezel is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the Dutch border.
  • 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: Zoersel
Triple: [Arrondissement of Antwerp, contains, Zoersel]
Generated description
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zoersel
Target entity description: Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
  • A. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • C. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Wuustwezel
    Wuustwezel is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the Dutch border.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c98f54f0908190afec4f26e96d8173 completed March 29, 2026, 8:45 p.m.
NEDg Description generation batch_69c990477ec881909ba48e92ec8ef64f completed March 29, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_69c9909f9fac81909a15f09cbb654524 completed March 29, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:55 p.m.