Triple

T18262558
Position Surface form Disambiguated ID Type / Status
Subject Université de Lorraine E437398 entity
Predicate hasEngineeringSchool P52636 FINISHED
Object École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)
École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI) is a French engineering school specializing in systems engineering and innovation, training engineers to design and manage complex industrial and organizational systems.
E1314849 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: École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI) | Statement: [Université de Lorraine, hasEngineeringSchool, École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)
Context triple: [Université de Lorraine, hasEngineeringSchool, École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)]
  • A. École Nationale Supérieure en Génie des Technologies Industrielles
    École Nationale Supérieure en Génie des Technologies Industrielles is a French engineering school specializing in industrial technologies and engineering, located within the Université de Pau et des Pays de l’Adour.
  • B. École Nationale Supérieure de l'Aéronautique et de l'Espace (Supaéro)
    École Nationale Supérieure de l'Aéronautique et de l'Espace (Supaéro) is a leading French grande école and engineering institution specializing in aerospace engineering, research, and education.
  • C. Grenoble INP – Institut d’ingénierie et de management
    Grenoble INP – Institut d’ingénierie et de management is a leading French public engineering and management school cluster based in Grenoble, renowned for its high-level training and research in science, technology, and industry.
  • D. École Nationale des Travaux Publics de l'État
    École Nationale des Travaux Publics de l'État is a prestigious French grande école specializing in civil engineering and public works, training high-level engineers and officials for infrastructure and territorial development.
  • E. École Nationale d’Ingénieurs du Val de Loire
    École Nationale d’Ingénieurs du Val de Loire is a French public engineering school that trains generalist engineers, particularly in fields such as industrial systems, mechanical engineering, and production.
  • 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: École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)
Triple: [Université de Lorraine, hasEngineeringSchool, École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)]
Generated description
École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI) is a French engineering school specializing in systems engineering and innovation, training engineers to design and manage complex industrial and organizational systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI)
Target entity description: École Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI) is a French engineering school specializing in systems engineering and innovation, training engineers to design and manage complex industrial and organizational systems.
  • A. École Nationale Supérieure en Génie des Technologies Industrielles
    École Nationale Supérieure en Génie des Technologies Industrielles is a French engineering school specializing in industrial technologies and engineering, located within the Université de Pau et des Pays de l’Adour.
  • B. École Nationale Supérieure de l'Aéronautique et de l'Espace (Supaéro)
    École Nationale Supérieure de l'Aéronautique et de l'Espace (Supaéro) is a leading French grande école and engineering institution specializing in aerospace engineering, research, and education.
  • C. Grenoble INP – Institut d’ingénierie et de management
    Grenoble INP – Institut d’ingénierie et de management is a leading French public engineering and management school cluster based in Grenoble, renowned for its high-level training and research in science, technology, and industry.
  • D. École Nationale des Travaux Publics de l'État
    École Nationale des Travaux Publics de l'État is a prestigious French grande école specializing in civil engineering and public works, training high-level engineers and officials for infrastructure and territorial development.
  • E. École Nationale d’Ingénieurs du Val de Loire
    École Nationale d’Ingénieurs du Val de Loire is a French public engineering school that trains generalist engineers, particularly in fields such as industrial systems, mechanical engineering, and production.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff77882c81909774aefc57ccca3e completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3f4a9e08190814c8fc05bf28d26 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4748aa48190a69855ba8e9563dd completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b4f794148190b01d310db48c2d6e completed May 12, 2026, 11:17 p.m.
Created at: April 10, 2026, 10:34 a.m.