Triple

T7841619
Position Surface form Disambiguated ID Type / Status
Subject Walloon Brabant E181816 entity
Predicate hasMunicipality P847 FINISHED
Object Chastre
Chastre is a municipality in central Belgium known for its rural character and location within the province of Walloon Brabant.
E696206 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: Chastre | Statement: [Walloon Brabant, hasMunicipality, Chastre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chastre
Context triple: [Walloon Brabant, hasMunicipality, Chastre]
  • A. Chassezac
    The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • D. Le Gosier
    Le Gosier is a coastal commune and popular tourist resort town on the island of Grande-Terre in Guadeloupe, known for its beaches, marinas, and vibrant nightlife.
  • E. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • 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: Chastre
Triple: [Walloon Brabant, hasMunicipality, Chastre]
Generated description
Chastre is a municipality in central Belgium known for its rural character and location within the province of Walloon Brabant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chastre
Target entity description: Chastre is a municipality in central Belgium known for its rural character and location within the province of Walloon Brabant.
  • A. Chassezac
    The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • D. Le Gosier
    Le Gosier is a coastal commune and popular tourist resort town on the island of Grande-Terre in Guadeloupe, known for its beaches, marinas, and vibrant nightlife.
  • E. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • 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_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:47 p.m.