Triple

T16487492
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering and Natural Sciences E400482 entity
Predicate fieldOfStudy P3 FINISHED
Object engineering 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: engineering | Statement: [Faculty of Engineering and Natural Sciences, fieldOfStudy, engineering]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d883813098819084f5409539723b59 elicitation completed
NER batch_69e32e078d0c8190a5698a5eb9df22d4 ner completed
Created at: April 10, 2026, 5:13 a.m.