Triple

T9939854
Position Surface form Disambiguated ID Type / Status
Subject Anne Lacaton E194049 entity
Predicate hasWorkedOn P922 FINISHED
Object educational buildings 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: educational buildings | Statement: [Anne Lacaton, hasWorkedOn, educational buildings]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ca82e409348190a393777356b80a2a elicitation completed
NER batch_69cdb5e819e08190967b799fd236749e ner completed
Created at: March 30, 2026, 8:44 p.m.