Triple
T28792991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Statistics and Actuarial Science |
E727006
|
entity |
| Predicate | fieldOfStudy |
P3
|
FINISHED |
| Object | data analysis |
—
|
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: data analysis | Statement: [School of Statistics and Actuarial Science, fieldOfStudy, data analysis]
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69f0319aabec81908368720196f69a35 |
elicitation | completed |
| NER | batch_69f6587b62808190af01990123dd8645 |
ner | completed |
Created at: April 28, 2026, 6:24 a.m.