Triple

T11210333
Position Surface form Disambiguated ID Type / Status
Subject ENS Paris E265287 entity
Predicate governedBy P46 FINISHED
Object French Ministry of Higher Education and Research E65061 NE FINISHED

How this triple was built (2 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: French Ministry of Higher Education and Research | Statement: [ENS Paris, governedBy, French Ministry of Higher Education and Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: French Ministry of Higher Education and Research
Context triple: [ENS Paris, governedBy, French Ministry of Higher Education and Research]
  • A. French Ministry of Higher Education and Research chosen
    The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
  • B. Chancellerie des universités de Paris
    The Chancellerie des universités de Paris is the administrative body overseeing the historic University of Paris’s successor institutions and managing shared academic and heritage assets such as the Sorbonne.
  • C. Ministry of National Education of France
    The Ministry of National Education of France is the government department responsible for overseeing the country’s public education system, from primary schools to secondary education and parts of higher education.
  • D. 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.
  • E. Université Paris Sciences et Lettres (PSL University)
    Université Paris Sciences et Lettres (PSL University) is a prestigious French research university in Paris that federates several elite institutions across the humanities, sciences, engineering, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad135154819091026334d25cd287 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.