Triple

T6187078
Position Surface form Disambiguated ID Type / Status
Subject Uccle E138086 entity
Predicate borderedBy P224 FINISHED
Object Rhode-Saint-Genèse
Rhode-Saint-Genèse is a wealthy, predominantly residential municipality in the Flemish Brabant province of Belgium, located just south of Brussels.
 E578594 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: Rhode-Saint-Genèse | Statement: [Uccle, borderedBy, Rhode-Saint-Genèse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rhode-Saint-Genèse
Context triple: [Uccle, borderedBy, Rhode-Saint-Genèse]
  • A. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • B. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • C. Seneffe
    Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • D. Chevenez
    Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • 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: Rhode-Saint-Genèse
Triple: [Uccle, borderedBy, Rhode-Saint-Genèse]
Generated description
Rhode-Saint-Genèse is a wealthy, predominantly residential municipality in the Flemish Brabant province of Belgium, located just south of Brussels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rhode-Saint-Genèse
Target entity description: Rhode-Saint-Genèse is a wealthy, predominantly residential municipality in the Flemish Brabant province of Belgium, located just south of Brussels.
  • A. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • B. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • C. Seneffe
    Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • D. Chevenez
    Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d7fbbcc8190902e8f104d9991de completed March 24, 2026, 4:05 a.m.
NEDg Description generation batch_69c2152127f08190a13abec64bc27db5 completed March 24, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:19 p.m.