Triple

T15092715
Position Surface form Disambiguated ID Type / Status
Subject University of Siena E360460 entity
Predicate hasAcademicStaff P47 FINISHED
Object over 700 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: over 700 | Statement: [University of Siena, hasAcademicStaff, over 700]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d85a035aa88190b52a139d3a1b7b6d elicitation completed
NER batch_69e0027925788190b955fdc6626adf7d ner completed
Created at: April 10, 2026, 3:04 a.m.