Triple

T19926589
Position Surface form Disambiguated ID Type / Status
Subject Smolenskaya-Sennaya Square E478937 entity
Predicate hasCategory P87 FINISHED
Object Streets and squares in Arbat District 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: Streets and squares in Arbat District | Statement: [Smolenskaya-Sennaya Square, hasCategory, Streets and squares in Arbat District]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d8e521855c8190b41871700afc8d6a elicitation completed
NER batch_69e659ca52c881908dc8053bf61be4c4 ner completed
Created at: April 10, 2026, 1:53 p.m.