Triple
T37032985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Morocco |
E916545
|
entity |
| Predicate | belongsToInstitution |
P2227
|
FINISHED |
| Object | Moroccan royal court |
—
|
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: Moroccan royal court | Statement: [Prince of Morocco, belongsToInstitution, Moroccan royal court]
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69f76e92c7648190bcfa277f64c71a21 |
elicitation | completed |
| NER | batch_69fa00e1e3e88190876b278092296b5d |
ner | completed |
Created at: May 3, 2026, 4:14 p.m.