Triple

T14617306
Position Surface form Disambiguated ID Type / Status
Subject Sydney light rail E343117 entity
Predicate purpose P79 FINISHED
Object urban mass transit 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: urban mass transit | Statement: [Sydney light rail, purpose, urban mass transit]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d822dec68081908c2553145c4051dc elicitation completed
NER batch_69deb46439b88190a4affcc7ccedab6b ner completed
Created at: April 10, 2026, 1:25 a.m.