Triple

T22154049
Position Surface form Disambiguated ID Type / Status
Subject Montferland E547486 entity
Predicate containsSettlement P847 FINISHED
Object Wijnbergen
Wijnbergen is a small village in the municipality of Montferland in the province of Gelderland in the Netherlands.
E1521872 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: Wijnbergen | Statement: [Montferland, containsSettlement, Wijnbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijnbergen
Context triple: [Montferland, containsSettlement, Wijnbergen]
  • A. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • B. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • C. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • D. Grembergen
    Grembergen is a village in East Flanders, Belgium, known as the birthplace of the Symbolist painter Fernand Khnopff.
  • E. Zevenbergen
    Zevenbergen is a town in the Dutch province of North Brabant, known historically for its peat extraction and as part of the municipality of Moerdijk.
  • 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: Wijnbergen
Triple: [Montferland, containsSettlement, Wijnbergen]
Generated description
Wijnbergen is a small village in the municipality of Montferland in the province of Gelderland in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wijnbergen
Target entity description: Wijnbergen is a small village in the municipality of Montferland in the province of Gelderland in the Netherlands.
  • A. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • B. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • C. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • D. Grembergen
    Grembergen is a village in East Flanders, Belgium, known as the birthplace of the Symbolist painter Fernand Khnopff.
  • E. Zevenbergen
    Zevenbergen is a town in the Dutch province of North Brabant, known historically for its peat extraction and as part of the municipality of Moerdijk.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970a95488190ac723daa646820d0 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a98bae8bc8190bd6a87983a1a6732 completed May 18, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a99485cf881908764d64050667ea1 completed May 18, 2026, 4:44 a.m.
Created at: April 16, 2026, 8:33 p.m.