Triple

T3879842
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Malebranche E92792 entity
Predicate educatedAt P5 FINISHED
Object Collège de la Marche E147105 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: Collège de la Marche | Statement: [Nicolas Malebranche, educatedAt, Collège de la Marche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collège de la Marche
Context triple: [Nicolas Malebranche, educatedAt, Collège de la Marche]
  • A. Collège de la Marche chosen
    Collège de la Marche was a notable Parisian college of the University of Paris, known for educating prominent Enlightenment-era scholars and intellectuals.
  • B. Collège de Montaigu
    Collège de Montaigu was a prominent medieval college of the University of Paris known for educating influential theologians and humanist scholars.
  • C. Collège d’Harcourt
    Collège d’Harcourt was a prominent Parisian college of the University of Paris, known for educating notable Enlightenment figures such as Denis Diderot.
  • D. Collège de Vendôme
    Collège de Vendôme is a historic French educational institution in Vendôme, notable for having educated the renowned writer Honoré de Balzac.
  • E. Collège de Beauvais
    Collège de Beauvais was a notable Parisian educational institution active from the Middle Ages through the early modern period, known for training many prominent French intellectuals and professionals.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec7557cc819094f055463625ffc3 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512568ba48190a820fcda9b472701 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.