Triple

T13039128
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Diponegoro University E326642 entity
Predicate hasType P0 FINISHED
Object public university faculty 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: public university faculty | Statement: [Faculty of Engineering, Diponegoro University, hasType, public university faculty]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d8076cc45c81908123123f43e69266 elicitation completed
NER batch_69d9804d8e3081909584c93df099859a ner completed
Created at: April 9, 2026, 8:55 p.m.