Triple

T22657314
Position Surface form Disambiguated ID Type / Status
Subject De Kempen E559261 entity
Predicate hasSettlement P1068 FINISHED
Object Vosselaar
Vosselaar is a municipality in the Belgian province of Antwerp, known for its village character and location in the Campine (Kempen) region.
E1550490 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: Vosselaar | Statement: [De Kempen, hasSettlement, Vosselaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vosselaar
Context triple: [De Kempen, hasSettlement, Vosselaar]
  • A. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
  • B. Vollenhoven
    Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
  • C. Voskuijl
    Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
  • D. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • E. Voskuil
    Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
  • 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: Vosselaar
Triple: [De Kempen, hasSettlement, Vosselaar]
Generated description
Vosselaar is a municipality in the Belgian province of Antwerp, known for its village character and location in the Campine (Kempen) region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vosselaar
Target entity description: Vosselaar is a municipality in the Belgian province of Antwerp, known for its village character and location in the Campine (Kempen) region.
  • A. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
  • B. Vollenhoven
    Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
  • C. Voskuijl
    Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
  • D. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • E. Voskuil
    Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ec593f0819081a3f8e56a9f1e1f completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b803e725081908e23dbe3da3622ab completed May 18, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0b80e09d2081908400cc978d76a4a1 completed May 18, 2026, 9:13 p.m.
Created at: April 17, 2026, 3:06 p.m.