Triple

T21948924
Position Surface form Disambiguated ID Type / Status
Subject Zhengzhou University E542008 entity
Predicate hasFacility P105 FINISHED
Object university hospital (affiliated hospital) 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: university hospital (affiliated hospital) | Statement: [Zhengzhou University, hasFacility, university hospital (affiliated hospital)]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69e0c47ef0e48190a50e1bcc43f4b3fd elicitation completed
NER batch_69f1243aed048190b4342899c83b38ec ner completed
Created at: April 16, 2026, 7:58 p.m.