Triple

T5658847
Position Surface form Disambiguated ID Type / Status
Subject Flemish Limburg E124685 entity
Predicate hasMunicipality P847 FINISHED
Object Kinrooi
Kinrooi is a municipality in the northeastern part of the Belgian province of Limburg, near the Dutch border, known for its rural character and waterways.
 E537807 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: Kinrooi | Statement: [Flemish Limburg, hasMunicipality, Kinrooi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinrooi
Context triple: [Flemish Limburg, hasMunicipality, Kinrooi]
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Kori
    Kori is a given name, often used as a variant spelling of Cory or Corey.
  • C. Krorayina
    Krorayina is an ancient oasis city in the Tarim Basin of present-day Xinjiang, China, known for its role as a Silk Road trading center and its well-preserved archaeological remains.
  • D. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • E. Kamieskroon
    Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand 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: Kinrooi
Triple: [Flemish Limburg, hasMunicipality, Kinrooi]
Generated description
Kinrooi is a municipality in the northeastern part of the Belgian province of Limburg, near the Dutch border, known for its rural character and waterways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinrooi
Target entity description: Kinrooi is a municipality in the northeastern part of the Belgian province of Limburg, near the Dutch border, known for its rural character and waterways.
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Kori
    Kori is a given name, often used as a variant spelling of Cory or Corey.
  • C. Krorayina
    Krorayina is an ancient oasis city in the Tarim Basin of present-day Xinjiang, China, known for its role as a Silk Road trading center and its well-preserved archaeological remains.
  • D. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • E. Kamieskroon
    Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand 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_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_69c04da37ffc819095f33e7e66e7c1d0 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.