Triple

T5658856
Position Surface form Disambiguated ID Type / Status
Subject Flemish Limburg E124685 entity
Predicate hasMunicipality P847 FINISHED
Object Nieuwerkerken
Nieuwerkerken is a municipality in the Belgian province of Limburg, known for its rural character and small village communities.
 E654779 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: Nieuwerkerken | Statement: [Flemish Limburg, hasMunicipality, Nieuwerkerken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nieuwerkerken
Context triple: [Flemish Limburg, hasMunicipality, Nieuwerkerken]
  • A. Nieuwerkerk
    Nieuwerkerk is a village in the Dutch province of Zeeland, located on the island and municipality of Schouwen-Duiveland.
  • B. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • C. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • D. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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: Nieuwerkerken
Triple: [Flemish Limburg, hasMunicipality, Nieuwerkerken]
Generated description
Nieuwerkerken is a municipality in the Belgian province of Limburg, known for its rural character and small village communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nieuwerkerken
Target entity description: Nieuwerkerken is a municipality in the Belgian province of Limburg, known for its rural character and small village communities.
  • A. Nieuwerkerk
    Nieuwerkerk is a village in the Dutch province of Zeeland, located on the island and municipality of Schouwen-Duiveland.
  • B. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • C. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • D. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fd9b148190bd4aa9c43500949f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4e76cf881909e45c3652a372a70 completed March 28, 2026, 2:25 p.m.
NEDg Description generation batch_69c7e6671e2c8190aed42aa673540efa completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6cd820881909ef8fd3bc28d2716 completed March 28, 2026, 2:33 p.m.
Created at: March 22, 2026, 3:42 p.m.