Triple

T13616346
Position Surface form Disambiguated ID Type / Status
Subject Henley, Suffolk E325320 entity
Predicate hasAdministrativeDivisionType P275 FINISHED
Object civil parish 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: civil parish | Statement: [Henley, Suffolk, hasAdministrativeDivisionType, civil parish]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d8076aae28819092cf636190ee5529 elicitation completed
NER batch_69dbb0ad0a7c81909c7972187202db96 ner completed
Created at: April 9, 2026, 9:50 p.m.