Triple

T32436306
Position Surface form Disambiguated ID Type / Status
Subject University of Sistan and Baluchestan E828877 entity
Predicate affiliation P10 FINISHED
Object Ministry of Science, Research and Technology of Iran NE NERFINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE 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: Ministry of Science, Research and Technology of Iran | Statement: [University of Sistan and Baluchestan, affiliation, Ministry of Science, Research and Technology of Iran]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69f3491bf298819097b610f772d54a6d elicitation completed
NER batch_69f6c2b48a8c8190a6ba0d2f084078cc ner completed
Created at: May 1, 2026, 12:55 a.m.