Triple

T5728567
Position Surface form Disambiguated ID Type / Status
Subject Noor al-Hussein E126325 entity
Predicate fieldOfStudy P3 FINISHED
Object architecture and urban planning 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: architecture and urban planning | Statement: [Noor al-Hussein, fieldOfStudy, architecture and urban planning]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69c0082f723881908ce8bb13a0c0f8b7 elicitation completed
NER batch_69c0250d5f4c8190a36b43ef5e6c7837 ner completed
Created at: March 22, 2026, 3:47 p.m.