Triple

T10619344
Position Surface form Disambiguated ID Type / Status
Subject Malmedy E295666 entity
Predicate hasMayor P185 FINISHED
Object Jean-Paul Bastin
Jean-Paul Bastin is a Belgian local politician who serves as the mayor of the town of Malmedy in Wallonia.
E1077874 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: Jean-Paul Bastin | Statement: [Malmedy, hasMayor, Jean-Paul Bastin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Paul Bastin
Context triple: [Malmedy, hasMayor, Jean-Paul Bastin]
  • A. Jean-Claude Charbonel
    Jean-Claude Charbonel is a French surrealist artist associated with the Parisian Surrealist movement.
  • B. Patrick Baudry
    Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
  • C. Jean-Claude Marmier
    Jean-Claude Marmier is a French trail-running organizer best known as one of the founders of the prestigious Ultra-Trail du Mont-Blanc mountain ultramarathon.
  • D. Jean-Pierre Blazy
    Jean-Pierre Blazy is a French politician known for serving as the long-time mayor of the suburban Parisian commune of Gonesse.
  • E. Alain Lamassoure
    Alain Lamassoure is a French politician and long-serving Member of the European Parliament known for his work on European integration and budgetary affairs.
  • 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: Jean-Paul Bastin
Triple: [Malmedy, hasMayor, Jean-Paul Bastin]
Generated description
Jean-Paul Bastin is a Belgian local politician who serves as the mayor of the town of Malmedy in Wallonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Paul Bastin
Target entity description: Jean-Paul Bastin is a Belgian local politician who serves as the mayor of the town of Malmedy in Wallonia.
  • A. Jean-Claude Charbonel
    Jean-Claude Charbonel is a French surrealist artist associated with the Parisian Surrealist movement.
  • B. Patrick Baudry
    Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
  • C. Jean-Claude Marmier
    Jean-Claude Marmier is a French trail-running organizer best known as one of the founders of the prestigious Ultra-Trail du Mont-Blanc mountain ultramarathon.
  • D. Jean-Pierre Blazy
    Jean-Pierre Blazy is a French politician known for serving as the long-time mayor of the suburban Parisian commune of Gonesse.
  • E. Alain Lamassoure
    Alain Lamassoure is a French politician and long-serving Member of the European Parliament known for his work on European integration and budgetary affairs.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
NEDg Description generation batch_69fcc4fa09448190b662af829712e657 completed May 7, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69fcc5d162c081908750fed589ed2d69 completed May 7, 2026, 5:03 p.m.
Created at: April 8, 2026, 8:21 p.m.