Triple

T26904577
Position Surface form Disambiguated ID Type / Status
Subject Department of Urban Studies and Planning E677217 entity
Predicate aimsTo P79 FINISHED
Object train urban planners 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: train urban planners | Statement: [Department of Urban Studies and Planning, aimsTo, train urban planners]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69eee9bcef1c8190be88586bb902bb9b elicitation completed
NER batch_69f61fb229a48190920ee562a6084c36 ner completed
Created at: April 27, 2026, 5:58 a.m.