Triple

T11817255
Position Surface form Disambiguated ID Type / Status
Subject Vaux-sur-Sûre E281032 entity
Predicate hasSubdivision P747 FINISHED
Object Tavigny
Tavigny is a village in the Walloon region of Belgium, located in the province of Luxembourg.
 E975388 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: Tavigny | Statement: [Vaux-sur-Sûre, hasSubdivision, Tavigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tavigny
Context triple: [Vaux-sur-Sûre, hasSubdivision, Tavigny]
  • A. Valdigne
    Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
  • B. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • C. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • D. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Vogogna
    Vogogna is a small historic village in northern Italy’s Piedmont region, known for its medieval castle and well-preserved old town within the Ossola Valley.
  • 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: Tavigny
Triple: [Vaux-sur-Sûre, hasSubdivision, Tavigny]
Generated description
Tavigny is a village in the Walloon region of Belgium, located in the province of Luxembourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tavigny
Target entity description: Tavigny is a village in the Walloon region of Belgium, located in the province of Luxembourg.
  • A. Valdigne
    Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
  • B. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • C. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • D. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Vogogna
    Vogogna is a small historic village in northern Italy’s Piedmont region, known for its medieval castle and well-preserved old town within the Ossola Valley.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3532b881909673e856b6c54a2c completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f61f5b107c819082094791fcf7c5f4 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62009766c8190985fafe9ba53ae7b completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:42 p.m.