Triple

T6905110
Position Surface form Disambiguated ID Type / Status
Subject Faculté de médecine de Paris E159792 entity
Predicate partOf P40 FINISHED
Object historical University of Paris faculties system LITERAL FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's LITERAL type shown above.

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: historical University of Paris faculties system | Statement: [Faculté de médecine de Paris, partOf, historical University of Paris faculties system]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69c68839ccb88190b4aa5cc1aca3448f elicitation completed
NER batch_69c6d98b07f0819093595e958fa0317b ner completed
Created at: March 27, 2026, 2:25 p.m.