Triple

T7538458
Position Surface form Disambiguated ID Type / Status
Subject Gbaya languages E178209 entity
Predicate linguisticResearch P19895 FINISHED
Object subject of comparative Niger–Congo studies 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: subject of comparative Niger–Congo studies | Statement: [Gbaya languages, linguisticResearch, subject of comparative Niger–Congo studies]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69c69f2be3888190a6667a27f8f195e9 elicitation completed
NER batch_69c6f8710400819088e430c8c550577e ner completed
Created at: March 27, 2026, 3:48 p.m.