Triple

T18262542
Position Surface form Disambiguated ID Type / Status
Subject Université de Lorraine E437398 entity
Predicate formedByMergerOf P77 FINISHED
Object Université Paul Verlaine – Metz NE NERFINISHED

How this triple was built (3 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 Paul Verlaine – Metz | Statement: [Université de Lorraine, formedByMergerOf, Université Paul Verlaine – Metz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Université Paul Verlaine – Metz
Context triple: [Université de Lorraine, formedByMergerOf, Université Paul Verlaine – Metz]
  • A. Université de Lorraine
    Université de Lorraine is a major French public research university located in the Grand Est region, known for its multidisciplinary programs and strong emphasis on science, engineering, and technology.
  • B. University of Dijon
    The University of Dijon was a French higher education institution in Dijon, historically known for its law and humanities faculties and for educating notable Central European political figures such as Edvard Beneš.
  • C. University of Pont-à-Mousson
    The University of Pont-à-Mousson was a Jesuit-founded early modern university in northeastern France that served as an important center of Catholic education and scholarship in the late 16th and 17th centuries.
  • D. University of Nancy
    The University of Nancy was a French higher education institution known for its strong programs in mathematics and sciences and for educating influential figures such as Alexander Grothendieck.
  • E. University of Orléans
    The University of Orléans is a historic French university, renowned as a major Renaissance center for legal and humanist studies that attracted many prominent scholars and reformers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Université Paul Verlaine – Metz
Target entity description: Université Paul Verlaine – Metz was a French public university in Metz known for its programs in science, technology, humanities, and social sciences before being integrated into the Université de Lorraine.
  • A. Université de Lorraine chosen
    Université de Lorraine is a major French public research university located in the Grand Est region, known for its multidisciplinary programs and strong emphasis on science, engineering, and technology.
  • B. University of Dijon
    The University of Dijon was a French higher education institution in Dijon, historically known for its law and humanities faculties and for educating notable Central European political figures such as Edvard Beneš.
  • C. University of Pont-à-Mousson
    The University of Pont-à-Mousson was a Jesuit-founded early modern university in northeastern France that served as an important center of Catholic education and scholarship in the late 16th and 17th centuries.
  • D. University of Nancy
    The University of Nancy was a French higher education institution known for its strong programs in mathematics and sciences and for educating influential figures such as Alexander Grothendieck.
  • E. University of Orléans
    The University of Orléans is a historic French university, renowned as a major Renaissance center for legal and humanist studies that attracted many prominent scholars and reformers.
  • F. None of above.

Provenance (2 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.
Created at: April 10, 2026, 10:34 a.m.