Triple

T402856
Position Surface form Disambiguated ID Type / Status
Subject Versailles E9321 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Université de Versailles Saint-Quentin-en-Yvelines
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
 E53829 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: Université de Versailles Saint-Quentin-en-Yvelines | Statement: [Versailles, hasEducationalInstitution, Université de Versailles Saint-Quentin-en-Yvelines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Université de Versailles Saint-Quentin-en-Yvelines
Context triple: [Versailles, hasEducationalInstitution, Université de Versailles Saint-Quentin-en-Yvelines]
  • A. Université Paris Cité
    Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
  • B. Université Paris Nanterre
    Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
  • C. Université Paris-Saclay
    Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
  • D. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • E. Université Côte d’Azur
    Université Côte d’Azur is a French public research university based in the French Riviera region, known for its interdisciplinary programs and strong emphasis on innovation and international collaboration.
  • 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: Université de Versailles Saint-Quentin-en-Yvelines
Triple: [Versailles, hasEducationalInstitution, Université de Versailles Saint-Quentin-en-Yvelines]
Generated description
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Université de Versailles Saint-Quentin-en-Yvelines
Target entity description: Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
  • A. Université Paris Cité
    Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
  • B. Université Paris Nanterre
    Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
  • C. Université Paris-Saclay
    Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
  • D. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • E. Université Côte d’Azur
    Université Côte d’Azur is a French public research university based in the French Riviera region, known for its interdisciplinary programs and strong emphasis on innovation and international collaboration.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca0e2048190a7bf360257965e56 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a12e5548190aedc6e18ef24c0ce completed March 1, 2026, 11:59 a.m.
NEDg Description generation batch_69a42dcefe4c8190a2ca6d5bc501c3b8 completed March 1, 2026, 12:15 p.m.
NED2 Entity disambiguation (via description) batch_69a42e24eca08190ad47f69d8d0743d0 completed March 1, 2026, 12:16 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.