Triple

T27644765
Position Surface form Disambiguated ID Type / Status
Subject Queanbeyan railway station E696679 entity
Predicate hasFacility P105 FINISHED
Object waiting room 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: waiting room | Statement: [Queanbeyan railway station, hasFacility, waiting room]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ef5909f3848190805f35b76833e722 elicitation completed
NER batch_69f6319513b881909c38f297ff102911 ner completed
Created at: April 27, 2026, 2:28 p.m.