Triple

T12849159
Position Surface form Disambiguated ID Type / Status
Subject Town Hall, Newark-on-Trent E307264 entity
Predicate category P87 FINISHED
Object Buildings and structures in Newark-on-Trent 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: Buildings and structures in Newark-on-Trent | Statement: [Town Hall, Newark-on-Trent, category, Buildings and structures in Newark-on-Trent]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d7bdf5e7cc8190be357278bc5ba3bb elicitation completed
NER batch_69d9701fe684819084582d1b4c809429 ner completed
Created at: April 9, 2026, 5:36 p.m.