Triple

T7620379
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Antwerp E172475 entity
Predicate contains P35 FINISHED
Object Wuustwezel
Wuustwezel is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the Dutch border.
 E691526 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: Wuustwezel | Statement: [Arrondissement of Antwerp, contains, Wuustwezel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wuustwezel
Context triple: [Arrondissement of Antwerp, contains, Wuustwezel]
  • A. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • D. Roderwolde
    Roderwolde is a small rural village in the Dutch province of Drenthe, known for its historic church and traditional countryside landscape.
  • E. Wesseling
    Wesseling is a German industrial town on the Rhine River in North Rhine-Westphalia, situated between Cologne and Bonn.
  • 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: Wuustwezel
Triple: [Arrondissement of Antwerp, contains, Wuustwezel]
Generated description
Wuustwezel is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the Dutch border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wuustwezel
Target entity description: Wuustwezel is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the Dutch border.
  • A. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • D. Roderwolde
    Roderwolde is a small rural village in the Dutch province of Drenthe, known for its historic church and traditional countryside landscape.
  • E. Wesseling
    Wesseling is a German industrial town on the Rhine River in North Rhine-Westphalia, situated between Cologne and Bonn.
  • 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_69c98bdf24bc81909b8d3f519d48ce98 completed March 29, 2026, 8:30 p.m.
NEDg Description generation batch_69c98d016f6c8190b00c231959a967da completed March 29, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69c98d567efc819096aeecc5c6e986f8 completed March 29, 2026, 8:36 p.m.
Created at: March 27, 2026, 3:55 p.m.