Triple

T15007159
Position Surface form Disambiguated ID Type / Status
Subject State Reference Library Reading Room E377737 entity
Predicate subjectAreaCoverage P450 FINISHED
Object government and public policy 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: government and public policy | Statement: [State Reference Library Reading Room, subjectAreaCoverage, government and public policy]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d85cd3a3c881908c71fc424d459c17 elicitation completed
NER batch_69ded73348d4819091d9e7f1b0fed822 ner completed
Created at: April 10, 2026, 2:55 a.m.