Triple

T23498137
Position Surface form Disambiguated ID Type / Status
Subject municipality of Hardenberg E571758 entity
Predicate containsSettlement P847 FINISHED
Object Dedemsvaart
Dedemsvaart is a town in the Dutch province of Overijssel, known historically for the canal of the same name and now part of the municipality of Hardenberg.
 E1588596 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: Dedemsvaart | Statement: [municipality of Hardenberg, containsSettlement, Dedemsvaart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dedemsvaart
Context triple: [municipality of Hardenberg, containsSettlement, Dedemsvaart]
  • A. Veldemelen
    Veldemelen is a village in Norway that serves as the administrative centre of the former municipality of Beitstad.
  • B. Schollevaar
    Schollevaar is a residential district in the Dutch municipality of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • C. Vilsteren
    Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
  • D. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • E. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
  • 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: Dedemsvaart
Triple: [municipality of Hardenberg, containsSettlement, Dedemsvaart]
Generated description
Dedemsvaart is a town in the Dutch province of Overijssel, known historically for the canal of the same name and now part of the municipality of Hardenberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dedemsvaart
Target entity description: Dedemsvaart is a town in the Dutch province of Overijssel, known historically for the canal of the same name and now part of the municipality of Hardenberg.
  • A. Veldemelen
    Veldemelen is a village in Norway that serves as the administrative centre of the former municipality of Beitstad.
  • B. Schollevaar
    Schollevaar is a residential district in the Dutch municipality of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • C. Vilsteren
    Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
  • D. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • E. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8271bd388190acc97e26e5c142f8 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f229308190bf72b52fd44144d3 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:06 p.m.