Triple

T9028300
Position Surface form Disambiguated ID Type / Status
Subject Testudo E216101 entity
Predicate associatedWith P37 FINISHED
Object Maryland Terrapins wordmark 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: Maryland Terrapins wordmark | Statement: [Testudo, associatedWith, Maryland Terrapins wordmark]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ca83a5fa88819088144801b4dd7245 elicitation completed
NER batch_69cc6a7fcb308190af90d6be8700e498 ner completed
Created at: March 30, 2026, 7:08 p.m.