Triple

T7841634
Position Surface form Disambiguated ID Type / Status
Subject Walloon Brabant E181816 entity
Predicate hasMunicipality P847 FINISHED
Object Walhain
Walhain is a rural municipality in central Belgium known for its agricultural landscape and historic castle ruins.
 E698488 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: Walhain | Statement: [Walloon Brabant, hasMunicipality, Walhain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walhain
Context triple: [Walloon Brabant, hasMunicipality, Walhain]
  • A. Kevelaer
    Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
  • B. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • C. Wenvoe
    Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
  • D. Huningue
    Huningue is a small French commune in the Alsace region near the borders with Germany and Switzerland, historically notable as a fortified border town.
  • E. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • 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: Walhain
Triple: [Walloon Brabant, hasMunicipality, Walhain]
Generated description
Walhain is a rural municipality in central Belgium known for its agricultural landscape and historic castle ruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walhain
Target entity description: Walhain is a rural municipality in central Belgium known for its agricultural landscape and historic castle ruins.
  • A. Kevelaer
    Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
  • B. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • C. Wenvoe
    Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
  • D. Huningue
    Huningue is a small French commune in the Alsace region near the borders with Germany and Switzerland, historically notable as a fortified border town.
  • E. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c6cbe48190b73df491de1004c3 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ad44ff081908954395aef6ac78b completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb5f1afe0c8190916c7a9b2eab9270 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb766e41fc8190a08f07d04774053a completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:47 p.m.