Triple

T12075587
Position Surface form Disambiguated ID Type / Status
Subject Steenwijkerland E287537 entity
Predicate hasVillage P4011 FINISHED
Object Wanneperveen
Wanneperveen is a rural village in the Dutch province of Overijssel, known for its lakes, peat landscapes, and water-based recreation.
E964534 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: Wanneperveen | Statement: [Steenwijkerland, hasVillage, Wanneperveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanneperveen
Context triple: [Steenwijkerland, hasVillage, Wanneperveen]
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Wassen
    Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
  • C. Ederveen
    Ederveen is a village in the Dutch province of Gelderland, known for its rural character and location within the municipality of Ede.
  • D. Weener
    Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
  • E. Wadenoijen
    Wadenoijen is a village in the Dutch province of Gelderland, located near the town of Tiel in the Betuwe 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: Wanneperveen
Triple: [Steenwijkerland, hasVillage, Wanneperveen]
Generated description
Wanneperveen is a rural village in the Dutch province of Overijssel, known for its lakes, peat landscapes, and water-based recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanneperveen
Target entity description: Wanneperveen is a rural village in the Dutch province of Overijssel, known for its lakes, peat landscapes, and water-based recreation.
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Wassen
    Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
  • C. Ederveen
    Ederveen is a village in the Dutch province of Gelderland, known for its rural character and location within the municipality of Ede.
  • D. Weener
    Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
  • E. Wadenoijen
    Wadenoijen is a village in the Dutch province of Gelderland, located near the town of Tiel in the Betuwe 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045ceeec81909427cae8972eed26 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f660f48881908d50bf27b0892953 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5ff815b748190932bfe163ea2847d completed May 2, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69f6018b4088819092b8b97089068fae completed May 2, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:48 p.m.